Li, W.S.,
Candan, K.S.,
Hirata, K.,
Hara, Y.,
Hierarchical Image Modeling for Object-Based Media Retrieval,
DataKnow(27), No. 2, September 1998, pp. 139-176.
9808
BibRef
Li, W.S.[Wen-Syan],
Candan, K.S.[Kasim S.],
Semantic and cognition based image retrieval,
US_Patent5,930,783, Jul 27, 1999
WWW Link.
BibRef
9907
Hirata, K.,
Kasutani, E.,
Hara, Y.,
On image segmentation for object-based image retrieval,
ICPR02(III: 1031-1034).
IEEE DOI
0211
BibRef
Stricker, M.,
Dimai, A.,
Spectral Covariance and Fuzzy Regions for Image Indexing,
MVA(10), No. 2, 1997, pp. 66-73.
Springer DOI
9707
BibRef
Earlier:
Color indexing with weak spatial constraints,
SPIE1996, Storage Retrieval Still Image Video Databases IV, pp. 29-40.
Based on extracted salient regions.
BibRef
Dimai, A.,
Invariant scene description based on salient regions for preattentive
similarity assessment,
CIAP99(957-962).
IEEE DOI
9909
BibRef
Dimai, A.,
Unsupervised extraction of salient region-descriptors for content based
image retrieval,
CIAP99(686-691).
IEEE DOI
9909
Find salient regions.
BibRef
Pauwels, E.J.,
Frederix, G.,
Finding Salient Regions in Images,
CVIU(75), No. 1/2, July-August 1999, pp. 73-85.
DOI Link
Map into nonparametric space.
Isolation and Connectivity used to merge regions.
BibRef
9907
Pauwels, E.J.,
Frederix, G.,
Caenen, G.,
Image Segmentation Based on Statistically Principled Clustering,
ICIP01(III: 66-69).
IEEE DOI
0108
BibRef
Pauwels, E.J.,
Frederix, G.,
Image Segmentation by Nonparametric Clustering based on the
Kolmogorov-Smirnov Distance,
ECCV00(II: 85-99).
Springer DOI
0003
BibRef
Pauwels, E.J.,
Frederix, G.,
Cluster-based Segmentation of Natural Scenes,
ICCV99(997-1002).
IEEE DOI
BibRef
9900
Frederix, G.,
Caenen, G.,
Pauwels, E.J.,
Pariss: Panoramic, Adaptive and Reconfigurable Interface for Similarity
Search,
ICIP00(Vol III: 222-225).
IEEE DOI
0008
BibRef
Luo, J.B.[Jie-Bo],
Etz, S.P.,
A physical model-based approach to detecting sky in photographic images,
IP(11), No. 3, March 2002, pp. 201-212.
IEEE DOI
0203
BibRef
And:
A physics-motivated approach to detecting sky in photographs,
ICPR02(I: 155-158).
IEEE DOI
0211
BibRef
Gallagher, A.C.,
Luo, J.B.[Jie-Bo],
Hao, W.[Wei],
Improved blue sky detection using polynomial model fit,
ICIP04(IV: 2367-2370).
IEEE DOI
0505
BibRef
Yoo, H.W.[Hun-Woo],
Jung, S.H.[She-Hwan],
Jang, D.S.[Dong-Sik],
Na, Y.K.[Yoon-Kyoon],
Extraction of major object features using VQ clustering for
content-based image retrieval,
PR(35), No. 5, May 2002, pp. 1115-1126.
Elsevier DOI
0202
BibRef
Lau, H.F.[Hang Fai],
Levine, M.D.[Martin D.],
Finding a small number of regions in an image using low-level features,
PR(35), No. 11, November 2002, pp. 2323-2339.
Elsevier DOI
0208
Low level processing to aid in finding important objects for image retrieval,
etc.
Simple threshold measure gave better results than more complex
measures tested (
See also Finding Salient Regions in Images. )
and Modified Hubert Index.
BibRef
Sun, S.J.[Shi-Jun],
Haynor, D.R.,
Kim, Y.M.[Yong-Min],
Semiautomatic video object segmentation using vsnakes,
CirSysVideo(13), No. 1, January 2003, pp. 75-82.
IEEE Top Reference.
0301
BibRef
Hsieh, J.W.[Jun-Wei],
Grimson, W.E.L.,
Spatial template extraction for image retrieval by region matching,
IP(12), No. 11, November 2003, pp. 1404-1415.
IEEE DOI
0311
BibRef
Hsieh, J.W.,
Region-based Image Retrieval,
ICIP00(Vol I: 77-80).
IEEE DOI
0008
BibRef
Kim, J.S.[Jin-Sang],
Chen, T.,
A VLSI architecture for video-object segmentation,
CirSysVideo(13), No. 1, January 2003, pp. 83-96.
IEEE Top Reference.
0301
BibRef
van Assen, H.C.,
Egmont-Petersen, M.,
Reiber, J.H.C.,
Accurate object localization in gray level images using the center of
gravity measure: accuracy versus precision,
IP(11), No. 12, December 2002, pp. 1379-1384.
IEEE DOI
0301
BibRef
Kim, J.,
Chen, T.,
Combining static and dynamic features using neural networks and edge
fusion for video object extraction,
VISP(150), No. 3, June 2003, pp. 160-167.
IEEE Abstract.
0308
BibRef
Luo, J.B.[Jie-Bo],
Singhal, A.[Amit],
Etz, S.P.[Stephen P.],
Gray, R.T.[Robert T.],
A computational approach to determination of main subject regions in
photographic images,
IVC(22), No. 3, 1 March 2004, pp. 227-241.
Elsevier DOI
0402
Find the salient region.
BibRef
Sun, Z.H.[Ze-Hang],
Bebis, G.N.[George N.],
Miller, R.[Ronald],
Object detection using feature subset selection,
PR(37), No. 11, November 2004, pp. 2165-2176.
Elsevier DOI
0409
BibRef
Earlier:
Boosting object detection using feature selection,
AVSBS03(290-296).
IEEE DOI
0310
BibRef
Li, L.,
Huang, W.,
Gu, I.Y.H.,
Tian, Q.,
Statistical Modeling of Complex Backgrounds for Foreground Object
Detection,
IP(13), No. 11, November 2004, pp. 1459-1472.
IEEE DOI
0411
BibRef
Liu, Z.[Zhi],
Yang, J.[Jie],
Peng, N.S.[Ning Song],
Semi-automatic video object segmentation using seeded region merging
and bidirectional projection,
PRL(26), No. 5, April 2005, pp. 653-662.
Elsevier DOI
0501
BibRef
Peng, N.S.[Ning Song],
Yang, J.[Jie],
Liu, Z.[Zhi],
Mean shift blob tracking with kernel histogram filtering and hypothesis
testing,
PRL(26), No. 5, April 2005, pp. 605-614.
Elsevier DOI
0501
BibRef
Earlier: A1, A2, Only:
Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and
Adaptive Model Update Criterion,
SMVP04(83-93).
Springer DOI
0505
BibRef
Pu, J.X.[Jie-Xin],
Peng, N.S.[Ning-Song],
Adaptive Kernel Based Tracking Using Mean-Shift,
ICIAR06(I: 394-403).
Springer DOI
0610
BibRef
Ahmad, A.M.A.[Ashraf M.A.],
Lee, S.Y.[Suh-Yin],
Robust Compressed Domain Object Extraction in MPEG Videos,
GVIP(05), No. V7, 2005, pp. xx-yy
HTML Version.
BibRef
0500
Amores, J.,
Radeva, P.I.,
Registration and retrieval of highly elastic bodies using contextual
information,
PRL(26), No. 11, August 2005, pp. 1720-1731.
Elsevier DOI
0506
BibRef
Amores, J.[Jaume],
Sebe, N.[Nicu],
Radeva, P.I.[Petia I.],
Context-Based Object-Class Recognition and Retrieval by Generalized
Correlograms,
PAMI(29), No. 10, October 2007, pp. 1818-1833.
IEEE DOI
0710
BibRef
And:
Class-Specific Binary Correlograms for Object Recognition,
BMVC07(xx-yy).
PDF File.
0709
Generalized Correlograms to retrieve object categories.
See also Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier.
BibRef
Cao, F.[Frédéric],
Musé, P.[Pablo],
Sur, F.[Frédéric],
Extracting Meaningful Curves from Images,
JMIV(22), No. 2-3, May 2005, pp. 159-181.
Springer DOI
0505
BibRef
Earlier:
INRIARR-5067, 2003.
HTML Version.
See also A Contrario Decision Method for Shape Element Recognition, An.
BibRef
Muse, P.,
Sur, F.,
Cao, F.,
Gousseau, Y.[Yann],
Unsupervised thresholds for shape matching,
ICIP03(II: 647-650).
IEEE DOI
0312
Shape queries
BibRef
He, Z.,
Dynamic programming framework for automatic video object segmentation
and vision-assisted video pre-processing,
VISP(152), No. 5, October 2005, pp. 597-603.
DOI Link
0512
BibRef
Han, J.,
Ngan, K.N.,
Li, M.,
Zhang, H.J.,
Unsupervised Extraction of Visual Attention Objects in Color Images,
CirSysVideo(16), No. 1, January 2006, pp. 141-145.
IEEE DOI
0601
BibRef
Luo, J.B.[Jie-Bo],
Crandall, D.,
Color Object Detection Using Spatial-Color Joint Probability Functions,
IP(15), No. 6, June 2006, pp. 1443-1453.
IEEE DOI
0606
BibRef
Earlier: A2, A1:
Robust color object detection using spatial-color joint probability
functions,
CVPR04(I: 379-385).
IEEE DOI
0408
Color edge co-occurence histogram.
Find specific color images (patterns) in an image.
BibRef
Zhang, H.M.[Hong-Ming],
Gao, W.[Wen],
Chen, X.L.[Xi-Lin],
Zhao, D.B.[De-Bin],
Object detection using spatial histogram features,
IVC(24), No. 4, 1 April 2006, pp. 327-341.
Elsevier DOI
0606
Spatial histogram features;
Feature selection; Histogram matching; Support vector machine
Distributions over patches, preserve shape and texture.
BibRef
Bergboer, N.H.[Niek H.],
Postma, E.O.[Eric O.],
van den Herik, H.J.[H. Jaap],
Context-based object detection in still images,
IVC(24), No. 9, September 2006, pp. 987-1000.
Elsevier DOI
0608
Machine learning; Object recognition
Two stages, first find objects, then assign confidence based on context.
BibRef
Bergboer, N.H.[Niek H.],
Postma, E.O.[Eric O.],
van den Herik, H.J.[H. Jaap],
Accuracy versus speed in context-based object detection,
PRL(28), No. 6, 15 April 2007, pp. 686-694.
Elsevier DOI
0703
Object detection; Face detection; Machine learning
BibRef
Lu, H.H.[Hui-Hai],
Woods, J.C.[John C.],
Ghanbari, M.[Mohammed],
Binary Partition Tree for Semantic Object Extraction and Image
Segmentation,
CirSysVideo(17), No. 3, March 2007, pp. 378-383.
IEEE DOI
0703
BibRef
Lu, H.H.[Hui-Hai],
Woods, J.C.[John C.],
Ghanbari, M.[Mohammed],
Binary Partition Tree Analysis Based on Region Evolution and Its
Application to Tree Simplification,
IP(16), No. 4, April 2007, pp. 1131-1138.
IEEE DOI
0704
BibRef
Chevalier, F.,
Domenger, J.P.,
Benois-Pineau, J.,
Delest, M.,
Retrieval of objects in video by similarity based on graph matching,
PRL(28), No. 8, 1 June 2007, pp. 939-949.
Elsevier DOI
0704
Video object matching; Rough indexing paradigm; Relaxation;
Inexact graph matching; CBIR
BibRef
Morand, C.,
Benois-Pineau, J.,
Domenger, J.P.,
Zepeda, J.,
Kijak, E.,
Guillemot, C.,
Scalable Object-Based Video Retrieval in HD Video Databases,
SP:IC(25), No. 6, July 2010, pp. 450-465.
Elsevier DOI
1007
HD video; Scalable video object extraction; Object-based indexing;
Video retrieval
BibRef
Chevalier, F.[Fanny],
Delest, M.[Maylis],
Domenger, J.P.[Jean-Philippe],
A heuristic for the retrieval of objects in video in the framework of
the rough indexing paradigm,
SP:IC(22), No. 7-8, August-September 2007, pp. 622-634.
Elsevier DOI
0710
Video object retrieval; Rough indexing paradigm;
Error-tolerant graph matching; Heuristic
BibRef
Wang, J.B.[Jing-Bin],
Athitsos, V.[Vassilis],
Sclaroff, S.[Stan],
Betke, M.[Margrit],
Detecting Objects of Variable Shape Structure With Hidden State Shape
Models,
PAMI(30), No. 3, March 2008, pp. 477-492.
IEEE DOI
0801
BibRef
Earlier: A2, A1, A3, A4:
Detecting Instances of Shape Classes That Exhibit Variable Structure,
ECCV06(I: 121-134).
Springer DOI
0608
BibRef
Wu, Z.[Zheng],
Betke, M.[Margrit],
Wang, J.B.[Jing-Bin],
Athitsos, V.[Vassilis],
Sclaroff, S.[Stan],
Tracking with Dynamic Hidden-State Shape Models,
ECCV08(I: 643-656).
Springer DOI
0810
BibRef
Wang, J.B.[Jing-Bin],
Gu, E.[Erdan],
Betke, M.[Margrit],
MosaicShape: Stochastic Region Grouping with Shape Prior,
CVPR05(I: 902-908).
IEEE DOI
0507
Combine shape based recognition and image segmentation.
BibRef
Lu, Y.[Ye],
Li, Z.N.[Ze-Nian],
Automatic object extraction and reconstruction in active video,
PR(41), No. 3, March 2008, pp. 1159-1172.
Elsevier DOI
0711
BibRef
Earlier:
Object Extraction and Reconstruction in Active Video,
CRV06(73-73).
IEEE DOI
0607
Active video; Camera motions; Shift and hold; Object extraction;
3D object reconstruction
BibRef
Liu, Y.[Yi],
Zheng, Y.F.[Yuan F.],
Shen, X.T.[Xiao-Tong],
Applying the multi-category learning to multiple video object
extraction,
PR(41), No. 9, September 2008, pp. 2777-2788.
Elsevier DOI
0806
VO extraction; Multiple object tracking; [psi]-Learning;
Support vector machines (SVM); Multi-class classification
BibRef
Jan, Y.H.[Yih-Haw],
Lin, D.W.[David W.],
Edge-Based Morphological Processing for Efficient and Accurate Video
Object Extraction,
IEICE(E88-D), No. 2, February 2005, pp. 335-340.
DOI Link
0502
BibRef
Watanabe, M.[Mutsumi],
Adaptive Decomposition of Dynamic Scene into Object-Based Distribution
Components Based on Mixture Model Framework,
IEICE(E88-D), No. 4, April 2005, pp. 758-766.
DOI Link
0504
BibRef
da Rugna, J.[Jérôme],
Konik, H.[Hubert],
A Robust Approach to Segment Desired Object Based on Salient Colors,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link
0804
BibRef
Zhu, S.,
Liu, Y.,
Scene Segmentation and Semantic Representation for High-Level Retrieval,
SPLetters(15), No. 1, 2008, pp. 713-716.
IEEE DOI
0812
BibRef
Liu, D.[David],
Chen, T.H.[Tsu-Han],
Video retrieval based on object discovery,
CVIU(113), No. 3, March 2009, pp. 397-404.
Elsevier DOI
0902
BibRef
Earlier:
Object discovery with perceptual grouping,
ICIP08(3032-3035).
IEEE DOI
0810
BibRef
Earlier:
Unsupervised Image Categorization and Object Localization using Topic
Models and Correspondences between Images,
ICCV07(1-7).
IEEE DOI
0710
BibRef
And:
A Topic-Motion Model for Unsupervised Video Object Discovery,
CVPR07(1-8).
IEEE DOI
0706
BibRef
And:
Background Cutout with Automatic Object Discovery,
ICIP07(IV: 345-348).
IEEE DOI
0709
Video retrieval; Video matching; Unsupervised object discovery
Motion ambiguities resolved by appearance, appearance ambiguities by
motion.
BibRef
Liu, D.[David],
Chen, T.H.[Tsu-Han],
DISCOV: A Framework for Discovering Objects in Video,
MultMed(10), No. 2, February 2008, pp. 200-208.
IEEE DOI
0905
BibRef
Earlier:
Semantic-Shift for Unsupervised Object Detection,
BP06(16).
IEEE DOI
0609
BibRef
Liu, D.[David],
Hua, G.[Gang],
Chen, T.H.[Tsu-Han],
A Hierarchical Visual Model for Video Object Summarization,
PAMI(32), No. 12, December 2010, pp. 2178-2190.
IEEE DOI
1011
BibRef
Earlier:
VideoCut: Removing Irrelevant Frames by Discovering the Object of
Interest,
ECCV08(I: 441-453).
Springer DOI
0810
Given a frame labeling for a few frames remove irrelevant frames.
BibRef
Liu, D.[David],
Chen, D.T.[Da-Tong],
Chen, T.H.[Tsu-Han],
Unsupervised Image Layout Extraction,
ICIP06(1113-1116).
IEEE DOI
0610
BibRef
And:
Latent Layout Analysis for Discovering Objects in Images,
ICPR06(II: 468-471).
IEEE DOI
0609
BibRef
Bouveyron, C.[Charles],
Girard, S.C.[Stephane C.],
Robust supervised classification with mixture models: Learning from
data with uncertain labels,
PR(42), No. 11, November 2009, pp. 2649-2658.
Elsevier DOI
0907
Supervised classification; Data with uncertain labels; Mixture models;
Robustness; Label noise; Weakly supervised classification
BibRef
Laskar, Z.[Zakaria],
Kannala, J.H.[Ju-Ho],
Data-efficient Ranking Distillation for Image Retrieval,
ACCV20(I:469-484).
Springer DOI
2103
BibRef
And:
Context Aware Query Image Representation for Particular Object
Retrieval,
SCIA17(II: 88-99).
Springer DOI
1706
BibRef
Bouveyron, C.[Charles],
Kannala, J.H.,
Schmid, C.,
Girard, S.C.[Stephane C.],
Object Localization by Subspace Clustering of Local Descriptors,
ICCVGIP06(457-467).
Springer DOI
0612
BibRef
Withagen, P.J.,
Schutte, K.,
Groen, F.C.A.,
Global Intensity Correction in Dynamic Scenes,
IJCV(86), No. 1, January 2010, pp. xx-yy.
Springer DOI
1001
BibRef
Earlier:
Probabilistic classication between foreground objects and background,
ICPR04(I: 31-34).
IEEE DOI
0409
BibRef
Earlier:
Likelihood-based object detection and object tracking using color
histograms and EM,
ICIP02(I: 589-592).
IEEE DOI
0210
BibRef
Millet, C.[Christophe],
Bloch, I.[Isabelle],
Hede, P.[Patrick],
Moellic, P.A.[Pierre-Alain],
Automatic cleaning and segmentation of web images based on colors to
build learning databases,
IVC(28), No. 3, March 2010, pp. 317-328.
Elsevier DOI
1001
Semantics; Web images; Automatic segmentation; Sorting images
Segment by color and central object, combine.
BibRef
Lecca, M.[Michela],
An Attention Module for Object Detection in Cluttered Images,
ELCVIA(8), No. 2, July 2009, pp. xx-yy.
DOI Link
1002
BibRef
Liu, G.C.[Guang-Can],
Lin, Z.C.[Zhou-Chen],
Tang, X.[Xiaoou],
Yu, Y.[Yong],
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM),
PAMI(32), No. 5, May 2010, pp. 910-924.
IEEE DOI
1003
BibRef
Earlier:
A Hybrid Graph Model for Unsupervised Object Segmentation,
ICCV07(1-8).
IEEE DOI
0710
Automatic segmentation without annotated training images.
Graph representation of the desired objects.o
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Learning Sparse CRFs for Feature Selection and Classification of
Hyperspectral Imagery,
GeoRS(46), No. 12, December 2008, pp. 4186-4197.
IEEE DOI
0812
BibRef
Qian, Z.M.[Zhi-Ming],
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Personalized image annotation via class-specific cross-domain
learning,
SP:IC(34), No. 1, 2015, pp. 61-71.
Elsevier DOI
1505
BibRef
Earlier: A2, A1, A3:
Dynamic Learning of SCRF for Feature Selection and Classification of
Hyperspectral Imagery,
SSSPR12(254-263).
Springer DOI
1211
Personalized image annotation
BibRef
Qian, Z.M.[Zhi-Ming],
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Tag Refinement for User-Contributed Images via Graph Learning and
Nonnegative Tensor Factorization,
SPLetters(22), No. 9, September 2015, pp. 1302-1305.
IEEE DOI
1503
graph theory
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Learning Conditional Random Fields for Classification of Hyperspectral
Images,
IP(19), No. 7, July 2010, pp. 1890-1907.
IEEE DOI
1007
BibRef
Earlier:
Object Detection Based on Combination of Conditional Random Field and
Markov Random Field,
ICPR06(III: 160-163).
IEEE DOI
0609
See also Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image.
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse
Higher Order Potentials,
GeoRS(49), No. 2, February 2011, pp. 688-705.
IEEE DOI
1102
BibRef
Zhong, P.[Ping],
Wang, R.S.[Run-Sheng],
Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral
Imagery,
GeoRS(51), No. 4, April 2013, pp. 2260-2275.
IEEE DOI
1304
BibRef
Chung, C.H.[Chi-Han],
Cheng, S.C.[Shyi-Chyi],
Chang, C.C.[Chin-Chun],
Adaptive image segmentation for region-based object retrieval using
generalized Hough transform,
PR(43), No. 10, October 2010, pp. 3219-3232.
Elsevier DOI
1007
Object recognition; Hough transform; Image segmentation; Information retrieval
BibRef
Fu, H.[Hong],
Chi, Z.[Zheru],
Feng, D.[Dagan],
Recognition of attentive objects with a concept association network for
image annotation,
PR(43), No. 10, October 2010, pp. 3539-3547.
Elsevier DOI
1007
Image annotation; Concept association network (CAN); Attentive
objects; Visual classifier; Neural network
BibRef
Liu, T.[Tie],
Yuan, Z.J.[Ze-Jian],
Sun, J.[Jian],
Wang, J.D.[Jing-Dong],
Zheng, N.N.[Nan-Ning],
Tang, X.[Xiaoou],
Shum, H.Y.[Heung-Yeung],
Learning to Detect a Salient Object,
PAMI(33), No. 2, February 2011, pp. 353-367.
IEEE DOI
1101
Binary labeling task, separate object from background. Contrast,
center-surround histogram, color spatial distribtuion, multi-level description.
BibRef
Liu, T.[Tie],
Zheng, N.N.[Nan-Ning],
Wei,
Yuan, Z.J.[Ze-Jian],
Video attention: Learning to detect a salient object sequence,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Liu, T.[Tie],
Sun, J.[Jian],
Zheng, N.N.[Nan-Ning],
Tang, X.[Xiaoou],
Shum, H.Y.[Heung-Yeung],
Learning to Detect A Salient Object,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Spain, M.[Merrielle],
Perona, P.[Pietro],
Measuring and Predicting Object Importance,
IJCV(91), No. 1, January 2011, pp. 59-76.
WWW Link.
1101
BibRef
Earlier:
Some Objects Are More Equal Than Others:
Measuring and Predicting Importance,
ECCV08(I: 523-536).
Springer DOI
0810
Computed from simple region measures, not recognition.
BibRef
Lu, Z.W.[Zhi-Wu],
Ip, H.H.S.[Horace H.S.],
Peng, Y.X.[Yu-Xin],
Contextual Kernel and Spectral Methods for Learning the Semantics of
Images,
IP(20), No. 6, June 2011, pp. 1739-1750.
IEEE DOI
1106
To annotate with keywords
See also Spectral learning of latent semantics for action recognition.
BibRef
Sidiropoulos, P.[Panagiotis],
Mezaris, V.,
Kompatsiaris, I.,
Meinedo, H.,
Bugalho, M.,
Trancoso, I.,
Temporal Video Segmentation to Scenes Using High-Level Audiovisual
Features,
CirSysVideo(21), No. 8, August 2011, pp. 1163-1177.
IEEE DOI
1108
BibRef
Sidiropoulos, P.[Panagiotis],
Mezaris, V.[Vasileios],
Kompatsiaris, I.[Ioannis],
Video Tomographs and a Base Detector Selection Strategy for Improving
Large-Scale Video Concept Detection,
CirSysVideo(24), No. 7, July 2014, pp. 1251-1264.
IEEE DOI
1407
Accuracy
BibRef
Zhao, G.Q.[Gang-Qiang],
Yuan, J.S.[Jun-Song],
Xu, J.[Jiang],
Wu, Y.[Ying],
Discovering the Thematic Object in Commercial Videos,
MultMedMag(18), No. 3, 2011, pp. 56-65.
IEEE DOI
1108
BibRef
Sternig, S.[Sabine],
Roth, P.M.[Peter M.],
Bischof, H.[Horst],
On-line inverse multiple instance boosting for classifier grids,
PRL(33), No. 7, 1 May 2012, pp. 890-897.
Elsevier DOI
1203
BibRef
Earlier:
Learning of Scene-Specific Object Detectors by Classifier Co-Grids,
AVSS10(408-413).
IEEE DOI
1009
BibRef
And:
Inverse Multiple Instance Learning for Classifier Grids,
ICPR10(770-773).
IEEE DOI
1008
Award, ICPR. Classifier grids; On-line learning; AdaBoost; Object detection;
Multiple instance learning
BibRef
Roth, P.M.[Peter M.],
Sternig, S.[Sabine],
Grabner, H.[Helmut],
Bischof, H.[Horst],
Classifier grids for robust adaptive object detection,
CVPR09(2727-2734).
IEEE DOI
0906
BibRef
Roth, P.M.[Peter M.],
Grabner, H.[Helmut],
Skocaj, D.[Danijel],
Bischof, H.[Horst],
Leonardis, A.[Aleš],
Conservative Visual Learning for Object Detection with Minimal Hand
Labeling Effort,
DAGM05(293).
Springer DOI
0509
See also Learning Features for Tracking.
BibRef
Roth, P.M.[Peter M.],
Grabner, H.[Helmut],
Bischof, H.[Horst],
Skocaj, D.[Danijel],
Leonardis, A.[Aleš],
On-line Conservative Learning for Person Detection,
PETS05(223-230).
IEEE DOI
0602
BibRef
Yuan, J.,
Zhao, G.,
Fu, Y.,
Li, Z.,
Katsaggelos, A.K.,
Wu, Y.,
Discovering Thematic Objects in Image Collections and Videos,
IP(21), No. 4, April 2012, pp. 2207-2219.
IEEE DOI
1204
BibRef
Dai, S.Y.[Sheng-Yang],
Yang, M.[Ming],
Wu, Y.[Ying],
Katsaggelos, A.K.[Aggelos K.],
Detector Ensemble,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Gao, Y.,
Tang, J.,
Hong, R.,
Yan, S.,
Dai, Q.,
Zhang, N.,
Chua, T.S.,
Camera Constraint-Free View-Based 3-D Object Retrieval,
IP(21), No. 4, April 2012, pp. 2269-2281.
IEEE DOI
1204
BibRef
Tang, J.,
Zha, Z.J.,
Tao, D.,
Chua, T.S.,
Semantic-Gap-Oriented Active Learning for Multilabel Image Annotation,
IP(21), No. 4, April 2012, pp. 2354-2360.
IEEE DOI
1204
BibRef
Kim, J.S.[Jun-Seong],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Multiscale Saliency Detection Using Random Walk With Restart,
CirSysVideo(24), No. 2, February 2014, pp. 198-210.
IEEE DOI
1403
Markov processes
BibRef
Kim, J.S.[Jun-Seong],
Kim, H.[Hansang],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Lee, S.U.[Sang-Uk],
Video saliency detection based on random walk with restart,
ICIP13(2465-2469)
IEEE DOI
1412
Markov chain
BibRef
Chuang, C.H.[Chi-Han],
Cheng, S.C.[Shyi-Chyi],
Chang, C.C.[Chin-Chun],
Chen, Y.P.P.[Yi-Ping Phoebe],
Model-based approach to spatial-temporal sampling of video clips for
video object detection by classification,
JVCIR(25), No. 5, 2014, pp. 1018-1030.
Elsevier DOI
1406
Semantic video objects
BibRef
Kim, W.,
Han, J.J.,
Video Saliency Detection Using Contrast of Spatiotemporal Directional
Coherence,
SPLetters(21), No. 10, October 2014, pp. 1250-1254.
IEEE DOI
1407
Coherence
BibRef
Zhu, Y.[Yukun],
Zhu, J.[Jun],
Zhang, R.[Rui],
Contextual Object Detection With Spatial Context Prototypes,
MultMed(16), No. 6, October 2014, pp. 1585-1596.
IEEE DOI
1410
data mining
BibRef
Zhao, G.Q.[Gang-Qiang],
Yuan, J.S.[Jun-Song],
Hua, G.[Gang],
Yang, J.[Jiong],
Topical Video Object Discovery from Key Frames by Modeling Word
Co-occurrence Prior,
IP(24), No. 12, December 2015, pp. 5739-5752.
IEEE DOI
1512
Gaussian distribution
BibRef
Earlier: A1, A2, A3, Only:
CVPR13(1602-1609)
IEEE DOI
1309
An object frequently highlighted in a video.
BibRef
Wang, B.,
Lin, D.,
Xiong, H.,
Zheng, Y.F.,
Joint Inference of Objects and Scenes With Efficient Learning of
Text-Object-Scene Relations,
MultMed(18), No. 3, March 2016, pp. 507-520.
IEEE DOI
1603
Bicycles
BibRef
Le, Q.V.,
Ranzato, M.A.,
Monga, R.,
Devin, M.,
Chen, K.,
Corrado, G.S.,
Dean, J.,
Ng, A.Y.,
Building high-level features using large scale unsupervised learning,
ICML12().
PDF File.
1209
Large scale deep learning simulations on 10000s of cores that lead to
neurons for objects.
BibRef
Le, Q.V.,
Karpenko, A.,
Ngiam, J.,
Ng, A.Y.,
ICA with Reconstruction Cost for Efficient
Overcomplete Feature Learning,
NIPS11(xx-yy).
1209
PDF File.
BibRef
Sharir, G.[Gilad],
Tuytelaars, T.[Tinne],
Video object proposals,
LSVSM12(9-14).
IEEE DOI
1207
BibRef
Blanchart, P.[Pierre],
Ferecatu, M.[Marin],
Datcu, M.[Mihai],
Cascaded active learning for object retrieval using multiscale coarse
to fine analysis,
ICIP11(2793-2796).
IEEE DOI
1201
BibRef
Bursuc, A.[Andrei],
Zaharia, T.[Titus],
Prêteux, F.[Françoise],
Retrieval of Multiple Instances of Objects in Videos,
MMMod12(358-369).
Springer DOI
1201
BibRef
Costantini, L.,
Capodiferro, L.,
Carli, M.,
Neri, A.,
Impact of edges characterization on image clustering,
EUVIP10(237-240).
IEEE DOI
1110
BibRef
Shah, R.[Ronak],
Iyer, R.[Rishabh],
Chaudhuri, S.[Subhasis],
Object Mining for Large Video data,
BMVC11(xx-yy).
HTML Version.
1110
BibRef
Chen, B.C.[Bor-Chun],
Wu, Z.X.[Zu-Xuan],
Davis, L.S.[Larry S.],
Lim, S.N.[Ser-Nam],
Efficient Object Embedding for Spliced Image Retrieval,
CVPR21(14960-14970)
IEEE DOI
2111
Training, Analytical models, Databases,
Computational modeling, Image retrieval, Detectors
BibRef
Lim, S.N.[Ser-Nam],
Doretto, G.[Gianfranco],
Rittscher, J.[Jens],
Multi-class Object Layout with Unsupervised Image Classification and
Object Localization,
ISVC11(I: 573-585).
Springer DOI
1109
Persence of object class in image.
BibRef
Lütz, A.[Alexander],
Robust Classification and Semi-supervised Object Localization with
Gaussian Processes,
DAGM11(456-461).
Springer DOI
1109
BibRef
Qu, Y.Y.[Yan-Yun],
Liu, H.[Han],
Visual Object Localization in Image Collections,
ICIG11(593-598).
IEEE DOI
1109
Context aware without labeled examples. Segment, then cluster to
find the pattern.
BibRef
Han, S.H.[Sun-Hyoung],
Vasconcelos, N.M.[Nuno M.],
Biologically plausible detection of amorphous objects in the wild,
WBCV11(24-31).
IEEE DOI
1106
E.g. animals. Saliency tuned for object detection.
BibRef
Sun, F.M.[Fu-Ming],
Ge, Y.[Yong],
Wang, D.X.[Dong-Xia],
Wang, X.M.[Xue-Ming],
A Collaborative Approach for Image Annotation,
PSIVT10(192-196).
IEEE DOI
1011
Multiple statistical models.
BibRef
Li, Z.D.[Zhi-Dong],
Xu, J.[Jie],
Wang, Y.[Yang],
Geers, G.[Glenn],
Yang, J.[Jun],
Saliency detection based on proto-objects and topic model,
WACV11(125-131).
IEEE DOI
1101
See also Feature fusion for vehicle detection and tracking with low-angle cameras.
BibRef
Li, Z.D.[Zhi-Dong],
Wang, Y.[Yang],
Geers, G.[Glenn],
Chen, J.[Jing],
Yang, J.[Jun],
Laird, J.[John],
Saliency based joint topic discovery for object categorization,
ICIP10(4581-4584).
IEEE DOI
1009
Foreground separation. Then categorize using both object and background.
BibRef
Li, Z.D.[Zhi-Dong],
Wang, Y.[Yang],
Chen, J.[Jing],
Xu, J.[Jie],
Larid, J.[John],
Image Topic Discovery with Saliency Detection,
BMVC10(xx-yy).
HTML Version.
1009
Salient objects.
BibRef
Jiang, X.Q.[Xiao-Qian],
Wu, Q.[Qi],
Tao, P.[Peng],
Sweeney, L.[Latanya],
Structure preserving semantic coherent object segmentation,
ICIP10(2209-2212).
IEEE DOI
1009
BibRef
Ma, J.[Jun],
Zheng, L.[Long],
Yaguchi, Y.[Yuichi],
Dong, M.X.[Mian-Xiong],
Oka, R.[Ryuichi],
Image classification based on segmentation-free object recognition,
ICIP10(2157-2160).
IEEE DOI
1009
BibRef
Wang, S.C.[Shao-Chuan],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
A Multi-Scale Learning Framework for Visual Categorization,
ACCV10(I: 310-322).
Springer DOI
1011
BibRef
Wang, S.C.[Shao-Chuan],
Wang, Y.C.F.,
Simultaneous Object Recognition and Localization in Image Collections,
AVSS10(497-504).
IEEE DOI
1009
BibRef
Xie, B.[Bo],
Song, M.L.[Ming-Li],
Tao, D.C.[Da-Cheng],
Large-scale Dictionary Learning for Local Coordinate Coding,
BMVC10(xx-yy).
HTML Version.
1009
BibRef
Khuwuthyakorn, P.[Pattaraporn],
Robles-Kelly, A.[Antonio],
Zhou, J.[Jun],
Object of Interest Detection by Saliency Learning,
ECCV10(II: 636-649).
Springer DOI
1009
BibRef
Wang, G.[Gang],
Forsyth, D.A.[David A.],
Joint learning of visual attributes, object classes and visual saliency,
ICCV09(537-544).
IEEE DOI
0909
Attribute: red, metal, ... class: Car, ...
Images labeled with category, but not location.
BibRef
Vu, C.T.[Cuong T.],
Chandler, D.M.[Damon M.],
An algorithm for detecting multiple salient objects in images via
adaptive feature selection,
ICIP12(657-660).
IEEE DOI
1302
BibRef
Earlier:
Main subject detection via adaptive feature selection,
ICIP09(3101-3104).
IEEE DOI
0911
BibRef
Jiang, A.[Aiwen],
Wang, C.H.[Chun-Heng],
Xiao, B.H.[Bai-Hua],
Scene modeling in global-local view for scene classification,
CIVR08(179-184).
0807
BibRef
Laungrungthip, N.,
McKinnon, A.E.,
Churcher, C.D.,
Unsworth, K.,
Edge-based detection of sky regions in images for solar exposure
prediction,
IVCNZ08(1-6).
IEEE DOI
0811
BibRef
Shoemaker, L.[Larry],
Banfield, R.E.[Robert E.],
Hall, L.O.[Lawrence O.],
Bowyer, K.W.[Kevin W.],
Kegelmeyer, W.P.[W. Philip],
Detecting and ordering salient regions for efficient browsing,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Le Hégarat-Mascle, S.,
Robin, A.,
Reynaud, R.,
Simultaneous localization and object detection using an a-contrario
approach,
ICCVGIP10(440-447).
DOI Link
1111
BibRef
Ammar, M.,
Le Hegarat-Mascle, S.,
Reynaud, R.,
Robin, A.,
Video Scene Object Detection Using An A Contrario Approach,
IPTA08(1-8).
IEEE DOI
0811
BibRef
Pujol, A.,
Chen, L.,
Coarse adaptive color image segmentation for visual object
classification,
WSSIP08(157-160).
IEEE DOI
0806
BibRef
Patterson, A.I.[Alexander I.],
Mordohai, P.[Philippos],
Daniilidis, K.[Kostas],
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and
Top-Down Descriptors,
ECCV08(IV: 553-566).
Springer DOI
0810
BibRef
Cui, J.Y.[Jing-Yu],
Yang, Q.[Qiong],
Wen, F.[Fang],
Wu, Q.Y.[Qi-Ying],
Zhang, C.S.[Chang-Shui],
Van Gool, L.J.[Luc J.],
Tang, X.[Xiaoou],
Transductive object cutout,
CVPR08(1-8).
IEEE DOI
0806
While object and background may share colors, they rarely share color
configurations.
BibRef
Ma, X.X.[Xiao-Xu],
Grimson, W.E.L.[W. Eric L.],
Learning coupled conditional random field for image decomposition with
application on object categorization,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Masnadi-Shirazi, H.[Hamed],
Vasconcelos, N.M.[Nuno M.],
High Detection-rate Cascades for Real-Time Object Detection,
ICCV07(1-6).
IEEE DOI
0710
BibRef
Zhang, W.[Wei],
Zelinsky, G.J.[Gregory J.],
Samaras, D.[Dimitris],
Real-time Accurate Object Detection using Multiple Resolutions,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Ma, J.[Jie],
Lu, H.[Hong],
Guo, Y.F.[Yue-Fei],
Region Based Image Retrieval Incorporated with Camera Metadata,
Visual07(84-92).
Springer DOI
0706
BibRef
Zhang, W.[Wei],
Xue, X.Y.[Xiang-Yang],
Sun, Z.C.[Zi-Chen],
Guo, Y.F.[Yue-Fei],
Chi, M.M.[Ming-Min],
Lu, H.[Hong],
Efficient Feature Extraction for Image Classification,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Yu, X.,
Yi, L.,
Object Detection Using Shape Codebook,
BMVC07(xx-yy).
PDF File.
0709
BibRef
Wang, L.M.[Li-Ming],
Shi, J.B.[Jian-Bo],
Song, G.[Gang],
Shen, I.F.[I-Fan],
Object Detection Combining Recognition and Segmentation,
ACCV07(I: 189-199).
Springer DOI
0711
BibRef
Huart, J.[Jeremy],
Bertolino, P.[Pascal],
A Generic Process Chain to Extract Key-Objects from Video Shots,
ICIP07(VI: 305-308).
IEEE DOI
0709
BibRef
Gao, S.[Sheng],
Lim, J.H.[Joo-Hwee],
Selecting representative and distinctive descriptors for efficient
landmark recognition,
ICIP09(1425-1428).
IEEE DOI
0911
Choosing important features for categorization.
BibRef
Gao, S.[Sheng],
Lim, J.H.[Joo-Hwee],
Sun, Q.B.[Qi-Bin],
Propagating Image-Level Part Statistics to Enhance Object Detection,
ICIP07(VI: 181-184).
IEEE DOI
0709
BibRef
Bianchi, L.[Luca],
Martinelli, A.[Alessandro],
A Clustering Approach to Object Estimation, Featuring Image Filtering
Prototyping for DBSCAN in Virtual Sets,
CIAP07(751-756).
IEEE DOI
0709
Filter data before clustering.
BibRef
Wu, Y.[Yang],
Zhu, Q.H.[Qi-Hui],
Shi, J.B.[Jian-Bo],
Zheng, N.N.[Nan-Ning],
Saliency Based Opportunistic Search for Object Part Extraction and
Labeling,
ECCV08(IV: 760-774).
Springer DOI
0810
BibRef
Lu, Y.[Yao],
Zhang, W.[Wei],
Lu, H.[Hong],
Xue, X.Y.[Xiang-Yang],
Salient Object Detection using concavity context,
ICCV11(233-240).
IEEE DOI
1201
BibRef
Zhang, S.L.[Shi-Le],
Fan, J.P.[Jian-Ping],
Lu, H.[Hong],
Xue, X.Y.[Xiang-Yang],
Salient Object Detection on Large-Scale Video Data,
SLAM07(1-6).
IEEE DOI
0706
BibRef
Romdhani, S.[Sami],
Vetter, T.[Thomas],
3D Probabilistic Feature Point Model for Object Detection and
Recognition,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Yuan, Q.[Quan],
Thangali, A.[Ashwin],
Ablavsky, V.[Vitaly],
Sclaroff, S.[Stan],
Parameter Sensitive Detectors,
CVPR07(1-6).
IEEE DOI
0706
BibRef
Cho, M.S.[Min-Su],
Lee, K.M.[Kyoung Mu],
Partially Occluded Object-Specific Segmentation in View-Based
Recognition,
CVPR07(1-7).
IEEE DOI
0706
BibRef
Ramanan, D.[Deva],
Using Segmentation to Verify Object Hypotheses,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Vasquez, D.,
Romanelli, F.,
Fraichard, T.,
Laugier, C.,
Fast Object Extraction from Bayesian Occupancy Grids using Self
Organizing Networks,
ICARCV06(1-6).
IEEE DOI
0612
BibRef
Wang, T.[Tsaipei],
Possibilistic C-Template Clustering and Its Application in Object
Detection in Images,
PSIVT06(383-392).
Springer DOI
0612
BibRef
Sluzek, A.[Andrzej],
Extended Keypoint Description and the Corresponding Improvements in
Image Retrieval,
RoLoD14(698-709).
Springer DOI
1504
See also Detection of Near-Duplicate Patches in Random Images Using Keypoint-Based Features.
BibRef
Sluzek, A.[Andrzej],
Approximation-Based Keypoints in Colour Images:
A Tool for Building and Searching Visual Databases,
Visual07(5-16).
Springer DOI
0706
See also Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform.
BibRef
Takahashi, Y.,
Hirata, K.,
Segmented-Region Based Approach Using Object Components Database to
Detect Sky Region,
ICIP06(2733-2736).
IEEE DOI
0610
BibRef
Le, D.D.[Duy-Dinh],
Satoh, S.[Shin'ichi],
Robust Object Detection using Fast Feature Selection from Huge Feature
Sets,
ICIP06(961-964).
IEEE DOI
0610
BibRef
Zafarifar, B.[Bahman],
de With, P.H.N.[Peter H. N.],
Grass Detection for Picture Quality Enhancement of TV Video,
ACIVS07(687-698).
Springer DOI
0708
BibRef
Zafarifar, B.[Bahman],
de With, P.H.N.[Peter H. N.],
Blue Sky Detection for Picture Quality Enhancement,
ACIVS06(522-532).
Springer DOI
0609
BibRef
Gao, L.,
Jiang, J.,
Yang, S.Y.,
Constrained Region-Growing and Edge Enhancement Towards Automated
Semantic Video Object Segmentation,
ACIVS06(323-331).
Springer DOI
0609
BibRef
Yang, J.Y.[Jun-Yeong],
Byun, H.R.[Hye-Ran],
A Combination of Generative and Discriminative Approaches to Object
Detection,
ICPR06(III: 249-253).
IEEE DOI
0609
BibRef
Ko, B.C.[Byoung Chul],
Nam, J.Y.[Jae-Yeal],
Automatic Object-of-Interest segmentation from natural images,
ICPR06(IV: 45-48).
IEEE DOI
0609
BibRef
Ko, B.C.[Byoung Chul],
Kwak, S.Y.[Soo Yeong],
Byun, H.R.[Hye-Ran],
SVM-based salient region(s) extraction method for image retrieval,
ICPR04(II: 977-980).
IEEE DOI
0409
BibRef
Zhao, Z.P.[Zhi-Peng],
Elgammal, A.M.[Ahmed M.],
A Statistically Selected Part-Based Probabilistic Model for Object
Recognition,
IWICPAS06(95-104).
Springer DOI
0608
Select image patches that correspond to the object, not the
background.
BibRef
Tsai, Y.T.J.[Yao-Tsung Jason],
Lien, J.J.J.[Jenn-Jier James],
Efficient Object Segmentation Using Digital Matting for MPEG Video
Sequences,
ACCV06(II:591-601).
Springer DOI
0601
BibRef
Kutics, A.[Andrea],
Nakagawa, A.[Akihiko],
Naming of Image Regions for User-Friendly Image Retrieval,
ICIAR06(I: 612-623).
Springer DOI
0610
BibRef
Earlier:
Detecting Prominent Objects for Image Retrieval,
ICIP05(III: 445-448).
IEEE DOI
0512
BibRef
Earlier:
Semantic Browsing and Retrieval in Image Libraries,
ICIAR04(I: 737-744).
Springer DOI
0409
BibRef
Cheng, L.S.[Li-Shui],
Yang, J.[Jie],
Fan, X.[Xian],
A New Region-Based Active Contour for Object Extraction Using Level Set
Method,
IbPRIA05(I:285).
Springer DOI
0509
BibRef
Kumar, M.P.[M. Pawan],
Torr, P.H.S.[Philip H. S.],
Zisserman, A.,
Obj Cut,
CVPR05(I: 18-25).
IEEE DOI
0507
Detect and Segment instances of a particular object in an image.
BibRef
Bourdev, L.[Lubomir],
Brandt, J.[Jonathan],
Robust Object Detection via Soft Cascade,
CVPR05(II: 236-243).
IEEE DOI
0507
BibRef
Traver, V.J.[V. Javier],
Bernardino, A.[Alexandre],
Moreno, P.[Plinio],
Santos-Victor, J.[José],
Appearance-Based Object Detection in Space-Variant Images:
A Multi-model Approach,
ICIAR04(I: 538-546).
Springer DOI
0409
See also Dealing with 2D translation estimation in log-polar imagery.
BibRef
Fang, J.Z.[Jian-Zhong],
Qiu, G.P.[Guo-Ping],
Learning an Information Theoretic Transform for Object Detection,
ICIAR04(I: 503-510).
Springer DOI
0409
BibRef
Wang, J.X.[Jun-Xian],
Eng, H.L.[How-Lung],
Kam, A.H.[Alvin H.],
Yau, W.Y.[Wei-Yun],
A Framework for Foreground Detection in Complex Environments,
SMVP04(129-140).
Springer DOI
0505
BibRef
Fan, X.D.[Xiao-Dong],
Contextual disambiguation for multi-class object detection,
ICIP04(V: 2873-2876).
IEEE DOI
0505
BibRef
Rymel, J.,
Renno, J.P.,
Greenhill, D.R.[Darrel R.],
Orwell, J.,
Jones, G.A.,
Adaptive eigen-backgrounds for object detection,
ICIP04(III: 1847-1850).
IEEE DOI
0505
BibRef
Treetasonatavorn, S.,
Heuer, J.,
Rauschenbach, U.,
Illgner, K.,
Kaup, A.,
Temporal video segmentation using global motion estimation and discrete
curve evolution,
ICIP04(I: 385-388).
IEEE DOI
0505
Temporal video segmentation based on global motion.
BibRef
Stepleton, T.[Thomas],
Lee, T.S.[Tai Sing],
Using Co-Occurrence and Segmentation to Learn Feature-Based Object
Models from Video,
WACV05(I: 129-134).
IEEE DOI
0502
Regularly co-occuring features tend to be from the object.
BibRef
Stepleton, T.S.,
Predicting and Evaluating the Power of Shared Features,
EEMCV05(III: 39-39).
IEEE DOI
0507
BibRef
Li, S.G.[Shi-Gang],
Sky-ground representation for local scene description,
ICPR04(III: 252-255).
IEEE DOI
0409
BibRef
Zang, Q.[Qi],
Klette, R.,
Robust background subtraction and maintenance,
ICPR04(II: 90-93).
IEEE DOI
0409
BibRef
Ramstrom, O.,
Christensen, H.I.,
Object detection using background context,
ICPR04(III: 45-48).
IEEE DOI
0409
BibRef
Levi, K.,
Weiss, Y.,
Learning Object Detection from a Small Number of Examples:
The Importance of Good Features,
CVPR04(II: 53-60).
IEEE DOI
0408
BibRef
Han, J.W.[Jun-Wei],
Li, M.J.[Ming-Jing],
Zhang, H.J.[Hong-Jiang],
Guo, L.[Lei],
Automatic attention object extraction from images,
ICIP03(II: 403-406).
IEEE DOI
0312
BibRef
Saitoh, T.[Takeshi],
Aoki, K.[Kimiya],
Kaneko, T.[Toyohisa],
Automatic Extraction of Object Region from Photographs,
SCIA03(1130-1137).
Springer DOI
0310
BibRef
Xiao, R.[Rong],
Zhu, L.[Long],
Zhang, H.J.[Hong-Jiang],
Boosting chain learning for object detection,
ICCV03(709-715).
IEEE DOI
0311
BibRef
Lienhart, R.[Rainer],
Kuranov, A.[Alexander],
Pisarevsky, V.[Vadim],
Empirical Analysis of Detection Cascades of Boosted Classifiers for
Rapid Object Detection,
DAGM03(297-304).
Springer DOI
0310
BibRef
Paletta, L.[Lucas],
Greindl, C.[Christian],
Context Based Object Detection from Video,
CVS03(502 ff).
Springer DOI
0306
BibRef
Li, Y.[Yi],
Shapiro, L.G.,
Consistent line clusters for building recognition in CBIR,
ICPR02(III: 952-956).
IEEE DOI
0211
BibRef
Hamker, F.H.[Fred H.],
Worcester, J.[James],
Object Detection in Natural Scenes by Feedback,
BMCV02(398 ff.).
Springer DOI
0303
BibRef
Cheoi, K.J.[Kyung-Joo],
Lee, Y.B.[Yill-Byung],
A Method of Extracting Objects of Interest with Possible Broad
Application in Computer Vision,
BMCV02(331 ff.).
Springer DOI
0303
BibRef
Luo, Y.[Ye],
Tian, Q.[Qi],
Spatio-temporal enhanced sparse feature selection for video saliency
estimation,
LSVSM12(33-38).
IEEE DOI
1207
BibRef
Li, L.Y.[Li-Yuan],
Huang, W.M.[Wei-Min],
Gu, I.Y.H.,
Tian, Q.[Qi],
Foreground object detection in changing background based on color
co-occurrence statistics,
WACV02(269-274).
IEEE DOI
0303
BibRef
Pardo, A.,
Extraction of semantic objects from still images,
ICIP02(III: 305-308).
IEEE DOI
0210
BibRef
Mezaris, V.,
Kompatsiaris, I.,
Strintzis, M.C.,
A framework for the efficient segmentation of large-format color images,
ICIP02(I: 761-764).
IEEE DOI
0210
Find the main object.
BibRef
Jin, H.,
Sakauchi, M.,
Content-based Objects Detection for the Recognition of Building Images,
ICIP01(II: 705-708).
IEEE DOI
0108
BibRef
Satoh, S.,
Idehara, Y.,
Mo, H.,
Hamada, T.,
Subject Region Segmentation in Disparity Maps for Image Retrieval,
ICIP01(II: 725-728).
IEEE DOI
0108
BibRef
Raghunathan, B.,
Area Morphological Segmentation for Content Based Retrieval,
ICIP00(Vol III: 738-741).
IEEE DOI
0008
BibRef
Ramamoorthy, A.,
An Integrated Segmentation Technique for Interactive Image Retrieval,
ICIP00(Vol III: 762-765).
IEEE DOI
0008
BibRef
Srihari, R.K.,
Zhang, Z.,
Rao, A.,
Image Background Search: Combining Object Detection Techniques with
Content-Based Image Retrieval (CBIR) Systems,
CBAIVL99(xx-yy).
BibRef
9900
Winter, A.,
Nastar, C.,
Differential Feature Distribution Maps for Image Segmentation and
Region Queries in Image Databases,
CBAIVL99(xx-yy).
BibRef
9900
Lu, Y.[Yi],
Guo, H.[Hong],
Background removal in image indexing and retrieval,
CIAP99(933-938).
IEEE DOI
9909
BibRef
Maeda, E.,
Tanaka, H.,
Shio, A.,
Ishii, K.,
Robust object extraction using normalized principal component features,
ICPR92(III:151-155).
IEEE DOI
9208
BibRef
Hanusse, P.[Patrick],
Guillataud, P.[Philippe],
Object detection and identification by hierarchical segmentation,
ECCV90(583-585).
Springer DOI
9004
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Database Issues and Techniques .