15.1.2 Active Vision, Visual Attention

Chapter Contents (Back)
Planning. Attention. Visual Attention. Saliency. Active Vision, Attention.

James, W.,
The Principles of Psychology,
HoltNew York, 1890. Initial discussion of attention mechanisms. BibRef 9000

Srinivasan, M.V., Thathachar, M.A.L., Deekshatulu, B.L.,
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Earlier:
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Sakane, S., Kuruma, T., Omata, T., Sato, T.,
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Springer DOI BibRef 9200
Earlier:
A Prototype for Data-Driven Visual Attention,
ICPR92(I:36-40).
IEEE DOI BibRef

Concepcion, V.[Vicente], Wechsler, H.[Harry],
Detection and Localization of Objects in Time-varying Imagery Using Attention, Representation and Memory Pyramids,
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Earlier:
Multiresolution attention and associative memory systems for time-varying imagery,
ICPR94(A:840-842).
IEEE DOI 9410
BibRef

Pau, L.F.,
An Intelligent Camera for Active Vision,
PRAI(10), No. 1, 1996, pp. 33-42. BibRef 9600

Sela, G., Levine, M.D.,
Real-Time Attention for Robotic Vision,
RealTimeImg(3), No. 3, June 1997, pp. 173-194. 9708
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Baluja, S.[Shumeet], Pomerleau, D.A.[Dean A.],
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Itti, L.[Laurent], Koch, C.[Cristof], Niebur, E.[Ernst],
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis,
PAMI(20), No. 11, November 1998, pp. 1254-1259.
IEEE DOI 9811
Attention mechanism based on neuronal structures. BibRef

Itti, L.[Laurent], Koch, C.[Christof],
Saliency-Based Search Mechanism for Overt and Covert Shifts of Visual Attention,
Vision Research(40), Nos. 10-12, 2000, pp. 1489-1506. BibRef 0001
Earlier:
Learning to Detect Salient Objects in Natural Scenes Using Visual Attention,
DARPA98(1201-1206). BibRef

Itti, L.[Laurent],
Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention,
IP(13), No. 10, October 2004, pp. 1304-1318.
IEEE DOI 0410
BibRef

Alvarez, J.R.S.[J.R. Serra], Subirana-Vilanova, J.B.[J. Brian],
Texture frame curves and regions of attention using adaptive non-cartesian networks,
PR(32), No. 3, March 1999, pp. 503-515.
WWW Link. BibRef 9903

Stough, T.M., Brodley, C.E.,
Focusing attention on objects of interest using multiple matched filters,
IP(10), No. 3, March 2001, pp. 419-426.
IEEE DOI 0104
BibRef

Cantoni, V.[Virginio], Marinaro, M.[Maria], Petrosino, A.[Alfredo],
Visual Attention Mechanisms,
KluwerDecember 2002, ISBN 0-306-47427-1.
WWW Link. BibRef 0212

Bozma, H.I., Çakiroglu, G., Soyer, Ç.,
Biologically inspired Cartesian and non-Cartesian filters for attentional sequences,
PRL(24), No. 9-10, June 2003, pp. 1261-1274.
WWW Link. 0304
BibRef

Sun, Y.[Yaoru], Fisher, R.B.[Robert B.],
Object-based visual attention for computer vision,
AI(146), No. 1, May 2003, pp. 77-123.
WWW Link. 0306
BibRef

Sun, Y.[Yaoru], Fisher, R.B.[Robert B.], Wang, F.[Fang], Gomes, H.M.[Herman Martins],
A computer vision model for visual-object-based attention and eye movements,
CVIU(112), No. 2, November 2008, pp. 126-142.
WWW Link. 0811
Visual-object-based competition; Space-based attention; Object-based attention; Group-based attention; Foveated imaging; Attention-driven eye movements BibRef

Ouerhani, N.[Nabil], Hügli, H.[Heinz],
Real-Time visual attention on a massively parallel SIMD architecture,
RealTimeImg(9), No. 3, June 2003, pp. 189-196.
WWW Link. 0310
BibRef

Ouerhani, N., Bracamonte, J., Hugli, H., Ansorge, M., Pellandini, F.,
Adaptive color image compression based on visual attention,
CIAP01(416-421).
WWW Link. 0210
BibRef

Ouerhani, N., Hügli, H., Burgi, P.Y., Ruedi, P.F.,
A Real Time Implementation of the Saliency-Based Model of Visual Attention on a SIMD Architecture,
DAGM02(282 ff.).
Springer DOI 0303
BibRef

Ouerhani, N.[Nabil], von Wartburg, R.[Roman], Hugli, H.[Heinz],
Empirical Validation of the Saliency-based Model of Visual Attention,
ELCVIA(3), No. 1, 2004, pp. 13-24.
WWW Link. 0402
BibRef

Ouerhani, N.[Nabil], Bur, A.[Alexandre], Hügli, H.[Heinz],
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision,
DAGM06(314-323).
Springer DOI 0610
BibRef

Frintrop, S.[Simone], Rome, E.[Erich], Nuchter, A.[Andreas], Surmann, H.[Hartmut],
A Bimodal Laser-Based Attention System,
CVIU(100), No. 1-2, October-November 2005, pp. 124-151.
WWW Link. 0510
BibRef

Frintrop, S.[Simone], Backer, G.[Gerriet], Rome, E.[Erich],
Goal-Directed Search with a Top-Down Modulated Computational Attention System,
DAGM05(117).
Springer DOI 0509
BibRef

Frintrop, S.[Simone], Rome, E.[Erich], Nüchter, A.[Andreas], Surmann, H.[Hartmut],
An Attentive, Multi-modal Laser 'Eye',
CVS03(202 ff).
Springer DOI 0306
BibRef

Frintrop, S.[Simone],
VOCUS: A Visual Attention System for Object Detection and Goal-Directed Search,
Springer2006, BibRef 0600 LNCS3899. ISBN: 3-540-32759-2.
Springer DOI From the thesis. BibRef

Draper, B.A.[Bruce A.], Lionelle, A.[Albert],
Evaluation of selective attention under similarity transformations,
CVIU(100), No. 1-2, October-November 2005, pp. 152-171.
WWW Link. 0510
BibRef

Williams, T.J., Draper, B.A.,
An Evaluation of Motion in Artificial Selective Attention,
AttenPerf05(III: 85-85).
IEEE DOI 0507
BibRef

Heinke, D.[Dietmar], Humphreys, G.W.[Glyn W.],
Selective Attention for Identification Model: Simulating visual neglect,
CVIU(100), No. 1-2, October-November 2005, pp. 172-197.
WWW Link. 0510
BibRef

Backhaus, A., Heinke, D.[Dietmar], Humphreys, G.W.[Glyn W.],
Contextual Learning in the Selective Attention for Identification model (CL-SAIM): Modeling contextual cueing in visual search tasks,
AttenPerf05(III: 87-87).
IEEE DOI 0507
BibRef

Jost, T.[Timothee], Ouerhani, N.[Nabil], von Wartburg, R.[Roman], Muri, R.[Rene], Hugli, H.[Heinz],
Assessing the contribution of color in visual attention,
CVIU(100), No. 1-2, October-November 2005, pp. 107-123.
WWW Link. 0510
BibRef

Hamker, F.H.[Fred H.],
The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision,
CVIU(100), No. 1-2, October-November 2005, pp. 64-106.
WWW Link. 0510
BibRef

Walther, D.[Dirk], Rutishauser, U.[Ueli], Koch, C.[Christof], Perona, P.[Pietro],
Selective visual attention enables learning and recognition of multiple objects in cluttered scenes,
CVIU(100), No. 1-2, October-November 2005, pp. 41-63.
WWW Link. 0510
BibRef

Avraham, T.[Tamar], Lindenbaum, M.[Michael],
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds,
PAMI(28), No. 2, February 2006, pp. 251-264.
IEEE DOI 0601
BibRef
Earlier:
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations,
ECCV04(Vol II: 58-70).
Springer DOI 0405
Visually similar are more likely the same thing. BibRef

Avraham, T.[Tamar], Lindenbaum, M.[Michael],
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling,
PAMI(32), No. 4, April 2010, pp. 693-708.
IEEE DOI 1003
Allocate resources based on importance. Bottom-up attention model, probability that a part of the image is of interest. BibRef

Horaud, R.[Radu], Knossow, D.[David], Michaelis, M.[Markus],
Camera cooperation for achieving visual attention,
MVA(16), No. 6, 2006, pp. 330-342.
Springer DOI 0603
BibRef

López, M.T.[María T.], Fernández-Caballero, A.[Antonio], Fernández, M.A.[Miguel A.], Mira, J.[José], Delgado, A.E.[Ana E.],
Motion features to enhance scene segmentation in active visual attention,
PRL(27), No. 5, 1 April 2006, pp. 469-478.
WWW Link. 0604
Permanency memories; Segmentation; Feature extraction BibRef

Lopez, M.T.[Maria T.], Fernandez, M.A.[Miguel A.], Fernandez-Caballero, A.[Antonio], Mira, J.[Jose], Delgado, A.E.[Ana E.],
Dynamic visual attention model in image sequences,
IVC(25), No. 5, 1 May 2007, pp. 597-613.
WWW Link. 0703
Dynamic visual attention; Motion; Segmentation; Feature extraction; Feature integration BibRef

Machrouh, J.[Joseph], Tarroux, P.[Philippe],
Attentional Mechanisms for Interactive Image Exploration,
JASP(2005), No. 14, 2005, pp. 2391-2396.
WWW Link. 0603
BibRef

Le Meur, O.[Olivier], Le Callet, P.[Patrick], Barba, D.[Dominique], and Thoreau, D.[Dominique],
A Coherent Computational Approach to Model Bottom-Up Visual Attention,
PAMI(28), No. 5, May 2006, pp. 802-817.
IEEE DOI 0604
BibRef
Earlier:
Performance assessment of a visual attention system entirely based on a human vision modeling,
ICIP04(IV: 2327-2330).
IEEE DOI 0505
BibRef
And: A1, A4, A2, A3:
A Spatio-Temporal Model of the Selective Human Visual Attention,
ICIP05(III: 1188-1191).
IEEE DOI 0512
Uses current views on HVS models of attention. Contrast sensitivity functions, perceptual decomposition, visual masking, and center-surround interactions are used. Compares with: See also Model of Saliency-Based Visual Attention for Rapid Scene Analysis, A. BibRef

Le Meur, O.[Olivier], Castellan, X., Le Callet, P.[Patrick], Barba, D.[Dominique],
Efficient Saliency-Based Repurposing Method,
ICIP06(421-424).
IEEE DOI 0610
BibRef

Stentiford, F.[Fred],
Attention-based similarity,
PR(40), No. 3, March 2007, pp. 771-783.
WWW Link. 0611
Visual attention; Similarity; Shape; Image retrieval; CBIR BibRef

Shic, F.[Frederick], Scassellati, B.[Brian],
A Behavioral Analysis of Computational Models of Visual Attention,
IJCV(73), No. 2, June 2007, pp. 159-177.
Springer DOI 0702
Quantative analysis of attention models. BibRef

Dong, L.[Le], Izquierdo, E.[Ebroul],
A Biologically Inspired System for Classification of Natural Images,
CirSysVideo(17), No. 5, May 2007, pp. 590-603.
IEEE DOI 0705
Visual attention model. BibRef

Rothenstein, A.L.[Albert L.], Tsotsos, J.K.[John K.],
Attention links sensing to recognition,
IVC(26), No. 1, 1 January 2008, pp. 114-126.
WWW Link. 0711
Cognitive vision; Attention; Recognition; Selective tuning BibRef

Hu, Y.Q.[Yi-Qun], Rajan, D.[Deepu], Chia, L.T.[Liang-Tien],
Detection of visual attention regions in images using robust subspace analysis,
JVCIR(19), No. 3, April 2008, pp. 199-216.
WWW Link. 0803
Visual attention; Subspace analysis; Saliency; GPCA; Scale-space; Clustering; Least square estimation BibRef

Bermudez-Contreras, E., Buxton, H., Spier, E.,
Attention can improve a simple model for object recognition,
IVC(26), No. 6, 1 June 2008, pp. 776-787.
WWW Link. 0804
Object recognition; HMAX; Foveation; Attention; Active vision; Visual cortex; Translation invariance; Scale invariance BibRef

Aziz, M.Z.[Muhammad Zaheer], Mertsching, B.[Bärbel],
Fast and Robust Generation of Feature Maps for Region-Based Visual Attention,
IP(17), No. 5, May 2008, pp. 633-644.
IEEE DOI 0804
BibRef
And:
Visual Search in Static and Dynamic Scenes Using Fine-Grain Top-Down Visual Attention,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Aziz, M.Z.[Muhammad Zaheer], Mertsching, B.[Bärbel],
Fast Depth Saliency from Stereo for Region-Based Artificial Visual Attention,
ACIVS10(I: 367-378).
Springer DOI 1012
BibRef

Aziz, M.Z.[M. Zaheer], Mertsching, B.[Barbel], Salah, M., Shafik, E.N., Stemmer, R.[Ralf],
Evaluation of Visual Attention Models for Robots,
CVS06(20).
IEEE DOI 0602
BibRef

Lang, C.Y.[Cong-Yan], Xu, D.[De], Li, N.[Ning],
Modeling Bottom-Up Visual Attention for Color Images,
IEICE(E91-D), No. 3, March 2008, pp. 869-872.
DOI Link 0803
BibRef

Sevilmis, T.[Tarkan], Bastan, M.[Muhammet], Güdükbay, U.[Ugur], Ulusoy, Ö.[Özgür],
Automatic detection of salient objects and spatial relations in videos for a video database system,
IVC(26), No. 10, 1 October 2008, pp. 1384-1396.
WWW Link. 0804
Multimedia databases; Salient object detection and tracking; Camera focus estimation; Object labeling; Knowledge-base construction; Spatio-temporal queries BibRef

Marat, S.[Sophie], Phuoc, T.H.[Tien Ho], Granjon, L.[Lionel], Guyader, N.[Nathalie], Pellerin, D.[Denis], Guérin-Dugué, A.[Anne],
Modelling Spatio-Temporal Saliency to Predict Gaze Direction for Short Videos,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI 0903
Predict eyemovement in video viewing. I.e. what is salient to the viewer. BibRef

Lee, S.J.[Seung-Jin], Kim, K.[Kwanho], Kim, J.Y.[Joo-Young], Kim, M.[Minsu], Yoo, H.J.[Hoi-Jun],
Familiarity based unified visual attention model for fast and robust object recognition,
PR(43), No. 3, March 2010, pp. 1116-1128.
Elsevier DOI 1001
Visual attention; Object recognition; Scene analysis BibRef

Abdollahian, G.[Golnaz], Taskiran, C.M., Pizlo, Z.[Zygmunt], Delp, E.J.[Edward J.],
Camera Motion-Based Analysis of User Generated Video,
MultMed(12), No. 1, January 2010, pp. 28-41.
IEEE DOI 1001
BibRef

Abdollahian, G.[Golnaz], Pizlo, Z.[Zygmunt], Delp, E.J.[Edward J.],
A study on the effect of camera motion on human visual attention,
ICIP08(693-696).
IEEE DOI 0810
BibRef

Zhang, W.[Wei], Wu, Q.M.J.[Q. M. Jonathan], Wang, G.H.[Guang-Hui], Yin, H.,
An Adaptive Computational Model for Salient Object Detection,
MultMed(12), No. 4, 2010, pp. 300-316.
IEEE DOI 1006
BibRef
Earlier:
Adaptive semantic Bayesian framework for image attention,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Zhang, W.[Wei], Wu, Q.M.J.[Q. M. Jonathan], Wang, G.H.[Guang-Hui], You, X.,
Tracking and Pairing Vehicle Headlight in Night Scenes,
ITS(13), No. 1, March 2012, pp. 140-153.
IEEE DOI 1203
BibRef
Earlier: A1, A2, A3, Only:
Vehicle Headlights Detection Using Markov Random Fields,
ACCV09(I: 169-179).
Springer DOI 0909
BibRef

Borji, A.[Ali], Ahmadabadi, M.N.[Majid Nili], Araabi, B.N.[Babak Nadjar], Hamidi, M.[Mandana],
Online learning of task-driven object-based visual attention control,
IVC(28), No. 7, July 2010, pp. 1130-1145.
Elsevier DOI 1006
BibRef
Earlier: A1, A3, A2, Only:
Learning top-down feature based attention control,
ViA08(xx-yy). 0810
Task-driven attention; Object-based attention; Top-down attention; Saliency-based model; Reinforcement learning; State space discretization BibRef

Borji, A.[Ali], Ahmadabadi, M.N.[Majid N.], Araabi, B.N.[Babak N.],
Cost-sensitive learning of top-down modulation for attentional control,
MVA(22), No. 1, January 2011, pp. 61-76.
WWW Link. 1101
BibRef

Begum, M., Karray, F., Mann, G.K.I.[George K.I.], Gosine, R.G.[Raymond G.],
A Probabilistic Model of Overt Visual Attention for Cognitive Robots,
SMC-B(40), No. 5, October 2010, pp. 1305-1318.
IEEE DOI 1003
BibRef

Yu, Y., Mann, G.K.I.[George K.I.], Gosine, R.G.[Raymond G.],
An Object-Based Visual Attention Model for Robotic Applications,
SMC-B(40), No. 5, October 2010, pp. 1398-1412.
IEEE DOI 1003
BibRef

De Silva, O., Mann, G.K.I.[George K.I.], Gosine, R.G.[Raymond G.],
Automated tuning of the nonlinear complementary filter for an Attitude Heading Reference observer,
WORV13(171-176)
IEEE DOI 1307
Kalman filters BibRef

Le Meur, O., Chevet, J.C.,
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks,
IP(19), No. 11, November 2010, pp. 2801-2813.
IEEE DOI 1011
Analysis of eye-tracking results. Attention. BibRef

Le Meur, O.[Olivier], Le Callet, P.[Patrick],
What we see is most likely to be what matters: Visual attention and applications,
ICIP09(3085-3088).
IEEE DOI 0911
BibRef

Li, Z.C.[Zhi-Cheng], Qin, S.Y.[Shi-Yin], Itti, L.[Laurent],
Visual attention guided bit allocation in video compression,
IVC(29), No. 1, January 2011, pp. 1-14.
Elsevier DOI 1011
Visual attention; Video compression; Eye-tracking; Video subjective quality BibRef

Lee, W.F., Huang, T.H., Yeh, S.L., Chen, H.H.,
Learning-Based Prediction of Visual Attention for Video Signals,
IP(20), No. 11, November 2011, pp. 3028-3038.
IEEE DOI 1110
BibRef

Garcia-Diaz, A.[Antón], Fdez-Vidal, X.R.[Xosé R.], Pardo, X.M.[Xosé M.], Dosil, R.[Raquel],
Saliency from hierarchical adaptation through decorrelation and variance normalization,
IVC(30), No. 1, January 2012, pp. 51-64.
Elsevier DOI 1202
Saliency; Bottom-up; Eye fixations; Decorrelation; Whitening; Visual attention BibRef

Leborán, V., Garcia-Diaz, A.[Antón], Fdez-Vidal, X.R.[Xosé R.], Pardo, X.M.[Xosé M.],
Dynamic Whitening Saliency,
PAMI(39), No. 5, May 2017, pp. 893-907.
IEEE DOI 1704
Adaptation models BibRef

Garcia-Diaz, A.[Antón], Fdez-Vidal, X.R.[Xosé R.], Pardo, X.M.[Xosé M.], Dosil, R.[Raquel],
Decorrelation and Distinctiveness Provide with Human-Like Saliency,
ACIVS09(343-354).
Springer DOI 0909
BibRef
And:
Saliency Based on Decorrelation and Distinctiveness of Local Responses,
CAIP09(261-268).
Springer DOI 0909
Distinctiveness BibRef

Amano, K.[Kinjiro], Foster, D.H.[David H.], Mould, M.S.[Matthew S.], Oakley, J.P.[John P.],
Visual search in natural scenes explained by local color properties,
JOSA-A(29), No. 2, February 2012, pp. A194-A199.
WWW Link. 1202
BibRef

Dozal, L.[León], Olague, G.[Gustavo], Clemente, E.[Eddie], Sánchez, M.[Marco],
Evolving Visual Attention Programs through EVO Features,
EvoIASP(326-335).
Springer DOI 1204
BibRef

Borji, A.[Ali], Itti, L.[Laurent],
State-of-the-Art in Visual Attention Modeling,
PAMI(35), No. 1, January 2013, pp. 185-207.
IEEE DOI 1212
BibRef
Earlier:
Exploiting local and global patch rarities for saliency detection,
CVPR12(478-485).
IEEE DOI 1208
BibRef

Borji, A.[Ali], Itti, L.[Laurent],
Human vs. Computer in Scene and Object Recognition,
CVPR14(113-120)
IEEE DOI 1409
computer vision BibRef

Borji, A.[Ali], Sihite, D.N.[Dicky N.], Itti, L.[Laurent],
What/Where to Look Next? Modeling Top-Down Visual Attention in Complex Interactive Environments,
SMCS(44), No. 5, May 2014, pp. 523-538.
IEEE DOI 1405
BibRef
Earlier:
Probabilistic learning of task-specific visual attention,
CVPR12(470-477).
IEEE DOI 1208
BibRef
Earlier:
Computational Modeling of Top-down Visual Attention in Interactive Environments,
BMVC11(xx-yy).
HTML Version. 1110
behavioural sciences computing BibRef

Peters, R.J.[Robert J.], Itti, L.[Laurent],
Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention,
CVPR07(1-8).
IEEE DOI 0706
Attention selection. BibRef

Lin, Y.W.[Yue-Wei], Tang, Y.Y.[Yuan Yan], Fang, B.[Bin], Shang, Z.W.[Zhao-Wei], Huang, Y.H.[Yong-Hui], Wang, S.[Song],
A Visual-Attention Model Using Earth Mover's Distance-Based Saliency Measurement and Nonlinear Feature Combination,
PAMI(35), No. 2, February 2013, pp. 314-328.
IEEE DOI 1301
for dynamic and static saliency maps. BibRef

Ge, S.S.[Shuzhi Sam], He, H.S.[Hong-Sheng], Zhang, Z.C.[Zheng-Chen],
Bottom-up saliency detection for attention determination,
MVA(24), No. 1, January 2013, pp. 103-116.
WWW Link. 1301
BibRef

Li, H.[Hongliang], Xu, L.[Linfeng], Liu, G.H.[Guang-Hui],
Two-layer average-to-peak ratio based saliency detection,
SP:IC(28), No. 1, January 2013, pp. 55-68.
Elsevier DOI 1301
Visual saliency; Attention model; Region detection BibRef

Bonev, B., Chuang, L.L., Escolano, F.,
How do image complexity, task demands and looking biases influence human gaze behavior?,
PRL(34), No. 7, 1 May 2013, pp. 723-730.
Elsevier DOI 1303
Perceptual search; Attention guidance in scenes; Image complexity BibRef

Kimura, A.[Akisato], Yonetani, R.[Ryo], Hirayama, T.[Takatsugu],
Computational Models of Human Visual Attention and Their Implementations: A Survey,
IEICE(E96-D), No. 3, March 2013, pp. 562-578.
WWW Link. 1303
Survey, Attention. BibRef

Rajashekar, U., van der Linde, I., Bovik, A.C., Cormack, L.K.,
GAFFE: A Gaze-Attentive Fixation Finding Engine,
IP(17), No. 4, April 2008, pp. 564-573.
IEEE DOI 0803
BibRef
Earlier:
Foveated Analysis and Selection of Visual Fixations in Natural Scenes,
ICIP06(453-456).
IEEE DOI 0610
BibRef
Earlier: A1, A3, A4, Only:
Image features that draw fixations,
ICIP03(III: 313-316).
IEEE DOI 0312
BibRef

Hou, W.L.[Wei-Long], Gao, X.[Xinbo], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Visual saliency detection using information divergence,
PR(46), No. 10, October 2013, pp. 2658-2669.
Elsevier DOI 1306
Visual attention; Saliency detection; Independent component analysis; Bayesian surprise model BibRef

Lang, C.Y.[Cong-Yan], Feng, J.[Jiashi], Liu, G.C.[Guang-Can], Tang, J.H.[Jin-Hui], Yan, S.C.[Shui-Cheng], Luo, J.B.[Jie-Bo],
Improving Bottom-up Saliency Detection by Looking into Neighbors,
CirSysVideo(23), No. 6, 2013, pp. 1016-1028.
IEEE DOI constrained nuclear norm; saliency detection; visual attention 1307
BibRef

Gu, X.D.[Xiao-Dong], Fang, Y.[Yu], Wang, Y.Y.[Yuan-Yuan],
Attention Selection Using Global Topological Properties Based on Pulse Coupled Neural Network,
CVIU(117), No. 10, 2013, pp. 1400-1411.
Elsevier DOI 1309
Topological properties See also Image Thinning Using Pulse Coupled Neural Network. BibRef

Le Callet, P., Niebur, E.,
Visual Attention and Applications in Multimedia Technologies,
PIEEE(101), No. 9, 2013, pp. 2058-2067.
IEEE DOI 1309
Image analysis BibRef

Gray, R., Spence, C., Ho, C., Tan, H.Z.,
Efficient Multimodal Cuing of Spatial Attention,
PIEEE(101), No. 9, 2013, pp. 2113-2122.
IEEE DOI 1309
Human factors BibRef

Xu, L.F.[Lin-Feng], Zeng, L.Y.[Liao-Yuan], Wang, Z.N.[Zheng-Ning],
Learning a Saliency Map for Fixation Prediction,
IEICE(E96-D), No. 10, October 2013, pp. 2294-2297.
WWW Link. 1310
BibRef

Nguyen, T.V., Ni, B.B.[Bing-Bing], Liu, H.R.[Hai-Rong], Xia, W.[Wei], Luo, J.B.[Jie-Bo], Kankanhalli, M., Yan, S.C.[Shui-Cheng],
Image Re-Attentionizing,
MultMed(15), No. 8, December 2013, pp. 1910-1919.
IEEE DOI 1402
Markov processes. Attract human attention. BibRef

Andrushia, A.D.[A. Diana], Thangarajan, R., Sebastian, G.[Greeshma],
Performance analysis on visual attention using spiking and oscillatory neural model,
IJCVR(3), No. 3, 2013, pp. 293-307.
DOI Link 1402
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Wang, W.N.[Wei-Ning], Cai, D.[Dong], Xu, X.M.[Xiang-Min], Liew, A.W.C.[Alan Wee-Chung],
Visual saliency detection based on region descriptors and prior knowledge,
SP:IC(29), No. 3, 2014, pp. 424-433.
Elsevier DOI 1403
Visual saliency BibRef

Amano, K.[Kinjiro], Foster, D.H.[David H.],
Influence of local scene color on fixation position in visual search,
JOSA-A(31), No. 4, April 2014, pp. A254-A262.
DOI Link 1404
Color vision; Detection; Vision-eye movements BibRef

Kim, H., Lee, S.H.[Sang-Hoon], Bovik, A.C.,
Saliency Prediction on Stereoscopic Videos,
IP(23), No. 4, April 2014, pp. 1476-1490.
IEEE DOI 1404
image sensors. Lowlevel features and high-level scenes in videos. BibRef

Arnay, R.[Rafael], Acosta, L.[Leopoldo],
Contour-based focus of attention mechanism to speed up object detection and labeling in 3D scenes,
IVC(32), No. 5, 2014, pp. 303-320.
Elsevier DOI 1404
3D contour-based features BibRef

Apostolakis, K.C.[Konstantinos C.], Daras, P.[Petros],
A framework for implicit human-centered image tagging inspired by attributed affect,
VC(30), No. 10, October 2014, pp. 1093-1106.
Springer DOI 1410
Monitor user gaze in annotation work to find what is important. BibRef

Sun, X.S.[Xiao-Shuai], Yao, H.X.[Hong-Xun], Ji, R.R.[Rong-Rong], Liu, X.M.,
Toward Statistical Modeling of Saccadic Eye-Movement and Visual Saliency,
IP(23), No. 11, November 2014, pp. 4649-4662.
IEEE DOI 1410
Analytical models BibRef
Earlier: A1, A2, A3, Only:
What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency,
CVPR12(1552-1559).
IEEE DOI 1208
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He, X.[Xin], Samuelson, F.[Frank], Zeng, R.[Rongping], Sahiner, B.[Berkman],
Discovering intrinsic properties of human observers' visual search and mathematical observers' scanning,
JOSA-A(31), No. 11, November 2014, pp. 2495-2510.
DOI Link 1411
Detection; Detection; Vision modeling ; Psychophysics BibRef

Luo, Y., Jiang, M., Wong, Y., Zhao, Q.,
Multi-Camera Saliency,
PAMI(37), No. 10, October 2015, pp. 2057-2070.
IEEE DOI 1509
Cameras BibRef

Jiang, M.[Ming], Xu, J.[Juan], Zhao, Q.[Qi],
Saliency in Crowd,
ECCV14(VII: 17-32).
Springer DOI 1408
where people look in a crowded scene. BibRef

Shen, C.Y.[Cheng-Yao], Zhao, Q.[Qi],
Webpage Saliency,
ECCV14(VII: 33-46).
Springer DOI 1408
BibRef

Shen, C., Huang, X., Zhao, Q.,
Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network,
MultMed(17), No. 11, November 2015, pp. 2084-2093.
IEEE DOI 1511
Computational modeling BibRef

Qiao, H., Xi, X., Li, Y., Wu, W., Li, F.,
Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment,
Cyber(45), No. 11, November 2015, pp. 2612-2624.
IEEE DOI 1511
Biological system modeling BibRef

Qiao, H., Li, Y., Li, F., Xi, X., Wu, W.,
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning,
Cyber(46), No. 10, October 2016, pp. 2335-2347.
IEEE DOI 1610
cognition BibRef

Cheon, M.[Manri], Lee, J.S.[Jong-Seok],
Temporal resolution vs. visual saliency in videos: Analysis of gaze patterns and evaluation of saliency models,
SP:IC(39, Part B), No. 1, 2015, pp. 405-417.
Elsevier DOI 1512
Temporal scalability BibRef

Engelke, U.[Ulrich], Le Callet, P.[Patrick],
Perceived interest and overt visual attention in natural images,
SP:IC(39, Part B), No. 1, 2015, pp. 386-404.
Elsevier DOI 1512
Overt visual attention BibRef

Hirayama, T.[Takatsugu], Ohira, T.[Toshiya], Mase, K.[Kenji],
Top-Down Visual Attention Estimation Using Spatially Localized Activation Based on Linear Separability of Visual Features,
IEICE(E98-D), No. 12, December 2015, pp. 2308-2316.
WWW Link. 1601
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Zhang, L., Li, X., Nie, L., Yang, Y., Xia, Y.,
Weakly Supervised Human Fixations Prediction,
Cyber(46), No. 1, January 2016, pp. 258-269.
IEEE DOI 1601
Computational modeling BibRef

Han, J., Zhang, D., Wen, S., Guo, L., Liu, T., Li, X.,
Two-Stage Learning to Predict Human Eye Fixations via SDAEs,
Cyber(46), No. 2, February 2016, pp. 487-498.
IEEE DOI 1601
Computational modeling BibRef

Mateescu, V.A., Bajic, I.V.,
Visual Attention Retargeting,
MultMedMag(23), No. 1, January 2016, pp. 82-91.
IEEE DOI 1603
Computational modeling BibRef

Wang, J., Borji, A., Kuo, C.C.J.[C. C. Jay], Itti, L.,
Learning a Combined Model of Visual Saliency for Fixation Prediction,
IP(25), No. 4, April 2016, pp. 1566-1579.
IEEE DOI 1604
image fusion BibRef

Feng, M., Borji, A., Lu, H.,
Fixation prediction with a combined model of bottom-up saliency and vanishing point,
WACV16(1-7)
IEEE DOI 1511
Computational modeling BibRef

Zhang, J.M.[Jian-Ming], Sclaroff, S.[Stan],
Exploiting Surroundedness for Saliency Detection: A Boolean Map Approach,
PAMI(38), No. 5, May 2016, pp. 889-902.
IEEE DOI 1604
BibRef
Earlier:
Saliency Detection: A Boolean Map Approach,
ICCV13(153-160)
IEEE DOI 1403
feature extraction. eye fixation; salient object detection; visual saliency BibRef

Gide, M.S.[Milind S.], Karam, L.J.[Lina J.],
A Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions,
IP(25), No. 8, August 2016, pp. 3852-3861.
IEEE DOI 1608
image processing BibRef

Lahrache, S., El Ouazzani, R., El Qadi, A.,
Bag-of-features for image memorability evaluation,
IET-CV(10), No. 6, 2016, pp. 577-584.
DOI Link 1609
computer vision BibRef

Duffner, S.[Stefan], Garcia, C.[Christophe],
Visual Focus of Attention Estimation With Unsupervised Incremental Learning,
CirSysVideo(26), No. 12, December 2016, pp. 2264-2272.
IEEE DOI 1612
BibRef
Earlier:
Unsupervised online learning of visual focus of attention,
AVSS13(25-30)
IEEE DOI 1311
Clustering algorithms BibRef

Le Meur, O., Coutrot, A., Liu, Z., Rämä, P., Le Roch, A., Helo, A.,
Visual Attention Saccadic Models Learn to Emulate Gaze Patterns From Childhood to Adulthood,
IP(26), No. 10, October 2017, pp. 4777-4789.
IEEE DOI 1708
gaze tracking, image sequences, age-dependent saccadic model, age-dependent scan paths, computer vision, gaze patterns, visual attention saccadic models, Adaptation models, Computational modeling, Dispersion, Hidden Markov models, Observers, Predictive models, Visualization, Saccadic model, BibRef


Kahou, S.E.[Samira Ebrahimi], Michalski, V.[Vincent], Memisevic, R.[Roland], Pal, C.[Christopher], Vincent, P.[Pascal],
RATM: Recurrent Attentive Tracking Model,
MotionRep17(1613-1622)
IEEE DOI 1709
Computational modeling, Feature extraction, Proposals, Recurrent neural networks, Standards, Training BibRef

Wang, J., Tavakoli, H.R.[Hamed R.], Laaksonen, J.[Jorma],
Fixation Prediction in Videos Using Unsupervised Hierarchical Features,
DeepLearn-T17(2225-2232)
IEEE DOI 1709
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Assist16(I: 287-302).
Springer DOI 1704
Computational modeling, Estimation, Feature extraction, Predictive models, Training, Videos, Visualization BibRef

Soliman, M., Tavakoli, H.R., Laaksonen, J.,
Towards gaze-based video annotation,
IPTA16(1-5)
IEEE DOI 1703
computer vision BibRef

Chen, J.Z.[Jia-Zhong], Li, Y.Z.[Yi-Zhang], Fan, Y.B.[Ye-Bin], Wu, W.M.[Wei-Min], Wang, X.[Xian], Cao, H.[Hua], Chen, Y.[Yang],
Investigation of mobile surroundings for visual attention based on image perception model,
VCIP16(1-4)
IEEE DOI 1701
Estimation BibRef

Rahman, I.M.H., Hollitt, C., Zhang, M.,
A dynamic feature map integration approach for predicting human fixation,
ICVNZ16(1-6)
IEEE DOI 1701
Computational modeling BibRef

Wei, Q., Zhai, G., Hu, C., Min, X.,
Visual attention analysis and prediction on human faces with mole,
VCIP16(1-4)
IEEE DOI 1701
Computational modeling BibRef

Thomas, C.[Christopher], Kovashka, A.[Adriana], Chiarulli, D.[Donald], Levitan, S.[Steven],
A Visual Attention Algorithm Designed for Coupled Oscillator Acceleration,
ECVW16(828-836)
IEEE DOI 1612
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Shih, K.J.[Kevin J.], Singh, S.[Saurabh], Hoiem, D.[Derek],
Where to Look: Focus Regions for Visual Question Answering,
CVPR16(4613-4621)
IEEE DOI 1612
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Kruthiventi, S.S.S., Gudisa, V., Dholakiya, J.H., Babu, R.V.,
Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation,
CVPR16(5781-5790)
IEEE DOI 1612
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Volokitin, A., Gygli, M., Boix, X.,
Predicting When Saliency Maps are Accurate and Eye Fixations Consistent,
CVPR16(544-552)
IEEE DOI 1612
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Kübler, T.[Thomas], Fuhl, W.[Wolfgang], Rosenberg, R.[Raphael], Rosenstiel, W.[Wolfgang], Kasneci, E.[Enkelejda],
Novel Methods for Analysis and Visualization of Saccade Trajectories,
CVAA16(I: 783-797).
Springer DOI 1611
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Rai, Y., Le Callet, P., Cheung, G.,
Quantifying the relation between perceived interest and visual salience during free viewing using trellis based optimization,
IVMSP16(1-5)
IEEE DOI 1608
Hidden Markov models BibRef

Li, Y., Guo, X., Wang, H.,
Spatio-temporal quality pooling adaptive to distortion distribution and visual attention,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models BibRef

Xu, M.[Mai], Ren, Y.[Yun], Wang, Z.[Zulin],
Learning to Predict Saliency on Face Images,
ICCV15(3907-3915)
IEEE DOI 1602
Face. Based on eye tracking data over face images. BibRef

Khosla, A.[Aditya], Raju, A.S.[Akhil S.], Torralba, A.[Antonio], Oliva, A.[Aude],
Understanding and Predicting Image Memorability at a Large Scale,
ICCV15(2390-2398)
IEEE DOI 1602
Dataset, Memorability.
WWW Link. Benchmark testing BibRef

Dubey, R., Peterson, J., Khosla, A., Yang, M.H., Ghanem, B.,
What Makes an Object Memorable?,
ICCV15(1089-1097)
IEEE DOI 1602
Computer vision BibRef

Cao, C., Liu, X., Yang, Y., Yu, Y., Wang, J., Wang, Z., Huang, Y., Wang, L., Huang, C., Xu, W., Ramanan, D., Huang, T.S.,
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks,
ICCV15(2956-2964)
IEEE DOI 1602
Biological neural networks BibRef

Healy, G.F.[Graham F.], Gurrin, C.[Cathal], Smeaton, A.F.[Alan F.],
Informed Perspectives on Human Annotation Using Neural Signals,
MMMod16(II: 315-327).
Springer DOI 1601
Understanding how p[eople do it. BibRef

Chi, H.Y.[Heng-Yu], Cheng, W.H.[Wen-Huang], You, C.W.[Chuang-Wen], Chen, M.S.[Ming-Syan],
What Catches Your Eyes as You Move Around? On the Discovery of Interesting Regions in the Street,
MMMod16(I: 767-779).
Springer DOI 1601
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Elafoudi, G.[Georgia], Stankovic, V.[Vladimir], Stankovic, L.[Lina], Pappusetti, D.[Deepti], Kalva, H.[Hari],
Evaluation of Signal Processing Methods for Attention Assessment in Visual Content Interaction,
QoEM15(580-588).
Springer DOI 1511
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Amengual, X.[Xesca], Bosch, A.[Anna], de la Rosa, J.L.[Josep Lluís],
Review of Methods to Predict Social Image Interestingness and Memorability,
CAIP15(I:64-76).
Springer DOI 1511
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Boukhechba, M.[Mehdi], Bouzouane, A.[Abdenour], Bouchard, B.[Bruno], Gouin-Vallerand, C.[Charles], Giroux, S.[Sylvain],
Online Prediction of People's Next Point-of-Interest: Concept Drift Support,
HBUI15(97-116).
Springer DOI 1511
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Sattar, H.[Hosnieh], Muller, S.[Sabine], Fritz, M.[Mario], Bulling, A.[Andreas],
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CVPR15(981-990)
IEEE DOI 1510
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Zhao, J.P.[Jia-Ping], Siagian, C.[Christian], Itti, L.[Laurent],
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CVPR15(3174-3182)
IEEE DOI 1510
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Ma, B., Zhou, J., Gu, X., Wang, M., Zhang, Y., Guo, X.,
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3DTV-CON15(1-4)
IEEE DOI 1508
Accuracy BibRef

Li, D.[Duo], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang],
Ultra high definition video saliency database,
VCIP14(97-100)
IEEE DOI 1504
video databases BibRef

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Springer DOI 1504
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Sato, Y.,
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IPTA14(1-1)
IEEE DOI 1503
calibration BibRef

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Sensing Visual Attention by Sequential Patterns,
ICPR14(483-488)
IEEE DOI 1412
Dictionaries BibRef

Razavian, A.S.[Ali S.], Aghazadeh, O.[Omid], Sullivan, J.[Josephine], Carlsson, S.[Stefan],
Estimating Attention in Exhibitions Using Wearable Cameras,
ICPR14(2691-2696)
IEEE DOI 1412
Cameras BibRef

Karayev, S.[Sergey], Trentacoste, M.[Matthew], Han, H.[Helen], Agarwala, A.[Aseem], Darrell, T.J.[Trevor J.], Hertzmann, A.[Aaron], Winnemoeller, H.[Holger],
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Analysis of Scores, Datasets, and Models in Visual Saliency Prediction,
ICCV13(921-928)
IEEE DOI 1403
eye movements; model benchmarking; saliency; visual attention BibRef

Riche, N.[Nicolas], Duvinage, M.[Matthieu], Mancas, M.[Matei], Gosselin, B.[Bernard], Dutoit, T.[Thierry],
Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics,
ICCV13(1153-1160)
IEEE DOI 1403
Human eye fixations; Metrics; Saliency maps; Validation BibRef

Liu, H.Y.[Hui-Ying], Xu, D.[Dong], Huang, Q.M.[Qing-Ming], Li, W.[Wen], Xu, M.[Min], Lin, S.[Stephen],
Semantically-Based Human Scanpath Estimation with HMMs,
ICCV13(3232-3239)
IEEE DOI 1403
Attention; Gaze shift; Hidden Markov Model; Levy flight; Saliency BibRef

Park, H.S.[Hyun Soo], Jain, E.[Eakta], Sheikh, Y.[Yaser],
Predicting Primary Gaze Behavior Using Social Saliency Fields,
ICCV13(3503-3510)
IEEE DOI 1403
Gaze prediction; Social scene understanding BibRef

Shi, T.[Tao], Sugimoto, A.[Akihiro],
Video Saliency Modulation in the HSI Color Space for Drawing Gaze,
PSIVT13(206-219).
Springer DOI 1402
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Mancas, M.[Matei], Meur, O.L.[Olivier Le],
Memorability of natural scenes: The role of attention,
ICIP13(196-200)
IEEE DOI 1402
Computational modeling BibRef

Karthikeyan, S., Jagadeesh, V.[Vignesh], Manjunath, B.S.,
Learning top down scene context for visual attention modeling in natural images,
ICIP13(211-215)
IEEE DOI 1402
Computational modeling BibRef

Nakashima, Y.[Yuta], Yokoya, N.[Naokazu],
Inferring what the videographer wanted to capture,
ICIP13(191-195)
IEEE DOI 1402
Cameras BibRef

Ngo, A.C.L.[Anh Cat Le], Ang, L.M.[Li-Minn], Qiu, G.P.[Guo-Ping], Seng, K.P.[Kah Phooi],
Multi-scale visual attention & saliency modelling with decision theory,
ICIP13(216-220)
IEEE DOI 1402
Educational institutions BibRef

Gilani, S.O.[Syed Omer], Subramanian, R.[Ramanathan], Hua, H.[Huang], Winkler, S.[Stefan], Yen, S.C.[Shih-Cheng],
Impact of image appeal on visual attention during photo triaging,
ICIP13(231-235)
IEEE DOI 1402
Cameras BibRef

Roffo, G.[Giorgio], Cristani, M.[Marco], Bazzani, L., Minh, H.Q.[Ha Quang], Murino, V.[Vittorio],
Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification,
SocialInter13(748-754)
IEEE DOI 1403
Hilbert spaces BibRef

Roffo, G.[Giorgio], Segalin, C.[Cristina], Vinciarelli, A.[Alessandro], Murino, V.[Vittorio], Cristani, M.[Marco],
Reading between the turns: Statistical modeling for identity recognition and verification in chats,
AVSS13(99-104)
IEEE DOI 1311
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Roffo, G.[Giorgio], Cristani, M.[Marco], Pollick, F.[Frank], Segalin, C.[Cristina], Murino, V.[Vittorio],
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CVPR13(739-746)
IEEE DOI 1309
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Rudoy, D.[Dmitry], Goldman, D.B.[Dan B.], Shechtman, E.[Eli], Zelnik-Manor, L.[Lihi],
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IEEE DOI 1309
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ICARCV12(1396-1401).
IEEE DOI 1304
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ICPR12(2784-2787).
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IEEE DOI 1208
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AVSBS11(349-354).
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PSIVT11(I: 277-288).
Springer DOI 1111
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Can Saliency Map Models Predict Human Egocentric Visual Attention?,
Gaze10(420-429).
Springer DOI 1109
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Hoque, M.M.[Mohammed Moshiul], Onuki, T.[Tomami], Tsuburaya, E.[Emi], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori], Sato, T.[Takayuki], Kodama, S.[Sachiko],
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Visual attention based detection of signs of anthropogenic activities in satellite imagery,
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Visual Focus of Attention Recognition in the Ambient Kitchen,
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Springer DOI 0909
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Judd, T.[Tilke], Ehinger, K.[Krista], Durand, F.[Fredo], Torralba, A.[Antonio],
Learning to predict where humans look,
ICCV09(2106-2113).
IEEE DOI 0909
BibRef

Atsumi, M.[Masayasu],
Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure,
ISVC13(I:416-426).
Springer DOI 1310
BibRef
Earlier:
Probabilistic Learning of Visual Object Composition from Attended Segments,
ISVC10(II: 696-705).
Springer DOI 1011
BibRef
Earlier:
A Probabilistic Model of Visual Attention and Perceptual Organization for Constructive Object Recognition,
ISVC09(II: 778-787).
Springer DOI 0911
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Zhang, J.[Jing], Zhuo, L.[Li], Gao, J.J.[Jing-Jing], Liu, Z.X.[Zhi-Xing],
A Study of Top-Down Visual Attention Model Based on Similarity Distance,

CISP09,
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IEEE DOI 0910
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Zeng, M.[Ming], Li, Y.F.[You-Fu], Meng, Q.H.[Qing-Hao], Qiu, X.J.[Xin-Jie],
Integrating Perceptual Properties of the HVS into the Computational Model of Visual Attention,
CISP09(1-4).
IEEE DOI 0910
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Schankin, A.[Andrea], Stursberg, O.[Olaf], Schubö, A.[Anna],
The Role of Implicit Context Information in Guiding Visual-Spatial Attention,
CogVis08(93-106).
Springer DOI 0805
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Milanova, M.[Mariofanna], Rubin, S.[Stuart], Kountchev, R.[Roumen], Todorov, V.[Vladimir], Kountcheva, R.[Roumiana],
Combined visual attention model for video sequences,
ICPR08(1-4).
IEEE DOI 0812
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Larson, E.C.[Eric C.], Vu, C.[Cuong], Chandler, D.M.[Damon M.],
Can visual fixation patterns improve image fidelity assessment?,
ICIP08(2572-2575).
IEEE DOI 0810
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Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.], Cormack, L.K.[Lawrence K.],
Fixation selection by maximization of texure and contrast information,
ICIP08(697-700).
IEEE DOI 0810
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Davies, S.J.C., Agrafiotis, D., Canagarajah, C.N., Bull, D.R.,
A gaze prediction technique for open signed video content using a track before detect algorithm,
ICIP08(705-708).
IEEE DOI 0810
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Chapuis, R.[Roland], Chausse, F.[Frederic], Trujillo, N.[Noel],
Progressive Focusing: A Top Down Attentional Vision System,
ISVC08(I: 468-477).
Springer DOI 0812
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Erkent, O., Aydin, I.B.[I. Bozma],
Color Based Saccades for Attention Control,
ViA08(xx-yy). 0810
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Kimura, A.[Akisato], Pang, D.[Derek], Takeuchi, T.[Tatsuto], Yamato, J.J.[Jun-Ji], Kashino, K.[Kunio],
Dynamic Markov random fields for stochastic modeling of visual attention,
ICPR08(1-5).
IEEE DOI 0812
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A stochastic model of selective visual attention with a dynamic Bayesian network,
ICME08(1073-1076);
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Leung, C., Kimura, A.[Akisato], Takeuchi, T.[Tatsuto], Kashino, K.[Kunio],
A computational model of saliency depletion/recovery phenomena for the salient region extraction of videos,
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Rebhan, S.[Sven], Richter, A.[Andreas], Eggert, J.[Julian],
Demand-Driven Visual Information Acquisition,
CVS09(124-133).
Springer DOI 0910
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Rebhan, S.[Sven], Röhrbein, F.[Florian], Eggert, J.[Julian], Körner, E.[Edgar],
Attention Modulation Using Short- and Long-Term Knowledge,
CVS08(xx-yy).
Springer DOI 0805
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Chevallier, S.[Sylvain], Tarroux, P.[Philippe],
Covert Attention with a Spiking Neural Network,
CVS08(xx-yy).
Springer DOI 0805
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Motion Detection using a Model of Visual Attention,
ICIP07(III: 513-516).
IEEE DOI 0709
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Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention,
WACV07(19-19).
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Guiding a Bottom-Up Visual Attention Mechanism to Locate Specific Image Regions Using a Distributed Genetic Optimization,
CIARP06(257-266).
Springer DOI 0611
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Shilston, R., Stentiford, F.,
An Attention Based Focus Control System,
ICIP06(425-428).
IEEE DOI 0610
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Orabona, F., Metta, G., Sandini, G.,
Object-based Visual Attention: a Model for a Behaving Robot,
AttenPerf05(III: 89-89).
IEEE DOI 0507
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Bonaiuto, J.J., Itti, L.,
Combining attention and recognition for rapid scene analysis,
AttenPerf05(III: 90-90).
IEEE DOI 0507
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Gu, E.[Erdan], Wang, J.B.[Jing-Bin], Badler, N.I.,
Generating Sequence of Eye Fixations Using Decision-theoretic Attention Model,
AttenPerf05(III: 92-92).
IEEE DOI 0507
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Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.], Geisler, W.S.[Wilson S.],
Non-Stationarity Detection in Natural Images,
ICIP07(III: 305-308).
IEEE DOI 0709
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Raj, R.G., Geisler, W.S., Frazor, R.A., Bovik, A.C.,
Natural Contrast Statistics and the Selection of Visual Fixations,
ICIP05(III: 1152-1155).
IEEE DOI 0512
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Pittore, M., Cappello, M., Ancona, M., Scagliola, N.,
Role of Image Recognition in Defining the User's Focus of Attention in 3G Phone Applications: The Agamemnon Experience,
ICIP05(III: 1012-1015).
IEEE DOI 0512
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Bernardino, A.[Alexandre], Santos-Victor, J.[José],
A Real-Time Gabor Primal Sketch for Visual Attention,
IbPRIA05(I:335).
Springer DOI 0509
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Han, J.[Junwei], Ngan, K.N.[King N.], Li, M.J.[Ming-Jing], Zhang, H.J.[Hong-Jiang],
Towards unsupervised attention object extraction by integrating visual attention and object growing,
ICIP04(II: 941-944).
IEEE DOI 0505
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Schneider, R.[Robert], Riesenhuber, M.[Maximilian],
On the difficulty of feature-based attentional modulations in visual object recognition: A modeling study.,
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Top-down control of visual attention in object detection,
ICIP03(I: 253-256).
IEEE DOI 0312
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Bruce, N.D.B., Jernigan, M.E.,
Evolutionary design of context-free attentional operators,
ICIP03(I: 429-432).
IEEE DOI 0312
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Nuchter, A., Surmann, H., Hertzberg, J.,
Automatic model refinement for 3D reconstruction with mobile robots,
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IEEE DOI 0311
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Koike, T.[Takahiko], Saiki, J.[Jun],
Stochastic Guided Search Model for Search Asymmetries in Visual Search Tasks,
BMCV02(408 ff.).
Springer DOI 0303
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Park, S.J.[Sang-Jae], Shin, J.K.[Jang-Kyoo], Lee, M.H.[Min-Ho],
Biologically Inspired Saliency Map Model for Bottom-up Visual Attention,
BMCV02(418 ff.).
Springer DOI 0303
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Sun, Y.[Yaoru], Fisher, R.B.[Robert B.],
Hierarchical Selectivity for Object-Based Visual Attention,
BMCV02(427 ff.).
Springer DOI 0303
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Navalpakkam, V.[Vidhya], Itti, L.[Laurent],
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed,
CVPR06(II: 2049-2056).
IEEE DOI 0606
BibRef
Earlier:
A Goal Oriented Attention Guidance Model,
BMCV02(453 ff.).
Springer DOI 0303
BibRef

Ramström, O.[Ola], Christensen, H.I.[Henrik I.],
Visual Attention Using Game Theory,
BMCV02(462 ff.).
Springer DOI 0303
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Rutishauser, U., Walther, D., Koch, C., Perona, P.,
Is bottom-up attention useful for object recognition?,
CVPR04(II: 37-44).
IEEE DOI 0408
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Walther, D.[Dirk], Itti, L.[Laurent], Riesenhuber, M.[Maximilian], Poggio, T.[Tomaso], Koch, C.[Christof],
Attentional Selection for Object Recognition: A Gentle Way,
BMCV02(472 ff.).
Springer DOI 0303
BibRef

Cheoi, K., Lee, Y.,
A Feature-Driven Attention Module for an Active Vision System,
DAGM02(583 ff.).
Springer DOI 0303
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Backer, G., Mertsching, B.,
Evaluation of Attentional Control in Active Vision Systems Using a 3D Simulation Framework,
WSCG02(32).
HTML Version. 0209
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Computing Visual Attention from Scene Depth,
ICPR00(Vol I: 375-378).
IEEE DOI 0009
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Matsuyama, T., Hiura, S., Wada, T., Murase, K., Yoshioka, A.,
Dynamic Memory: Architecture for Real Time Integration of Visual Perception, Camera Action, and Network Communication,
CVPR00(II: 728-735).
IEEE DOI 0005
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Space-Variant Dynamic Neural Fields for Visual Attention,
CVPR99(II: 313-318).
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A model of the visual attention to speed up image analysis,
ICIP98(I: 246-250).
IEEE DOI 9810
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ICPR98(Vol I: 690-692).
IEEE DOI 9808
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Attention Control for Robot Vision,
CVPR96(726-733).
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ICPR96(IV: 19-23).
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SCV95(515-520).
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Active Fixation Using Attentional Shifts, Affine Resampling, and Multiresolution Search,
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Modal Control of an Attentive Vision System,
ICCV88(514-523).
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Integration of Bottom-Up and Top-Down Cues for Visual Attention Using Non-Linear Relaxation,
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Hand-Eye Coordination .


Last update:Nov 11, 2017 at 13:31:57