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Low level processing to aid in finding important objects for image retrieval,
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Find the salient region.
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0409
BibRef
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Boosting object detection using feature selection,
AVSBS03(290-296).
IEEE DOI
0310
BibRef
Li, L.,
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Gu, I.Y.H.,
Tian, Q.,
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0501
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0501
BibRef
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Springer DOI
0505
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0610
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0506
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BibRef
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0601
BibRef
Luo, J.B.[Jie-Bo],
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0606
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IEEE DOI
0408
Color edge co-occurence histogram.
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IVC(24), No. 4, 1 April 2006, pp. 327-341.
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0606
Spatial histogram features;
Feature selection; Histogram matching; Support vector machine
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0608
Machine learning; Object recognition
Two stages, first find objects, then assign confidence based on context.
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0703
Object detection; Face detection; Machine learning
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0703
BibRef
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IEEE DOI
0704
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0704
Video object matching; Rough indexing paradigm; Relaxation;
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0801
BibRef
Earlier: A2, A1, A3, A4:
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Springer DOI
0608
BibRef
Wu, Z.[Zheng],
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0810
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0507
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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;
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Liu, Y.[Yi],
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0806
VO extraction; Multiple object tracking; [psi]-Learning;
Support vector machines (SVM); Multi-class classification
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da Rugna, J.[Jérôme],
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JIVP(2008), No. 2008, pp. xx-yy.
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0804
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0812
BibRef
Liu, D.[David],
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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
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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
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BibRef
Liu, D.[David],
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MultMed(10), No. 2, February 2008, pp. 200-208.
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0905
BibRef
Earlier:
Semantic-Shift for Unsupervised Object Detection,
BP06(16).
IEEE DOI
0609
BibRef
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Hua, G.[Gang],
Chen, T.H.[Tsu-Han],
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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],
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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],
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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
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And:
Context Aware Query Image Representation for Particular Object
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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.
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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],
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Automatic cleaning and segmentation of web images based on colors to
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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.
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Lecca, M.[Michela],
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ELCVIA(8), No. 2, July 2009, pp. xx-yy.
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1003
BibRef
Earlier:
A Hybrid Graph Model for Unsupervised Object Segmentation,
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IEEE DOI
0710
Automatic segmentation without annotated training images.
Graph representation of the desired objects.o
BibRef
Zhong, P.[Ping],
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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],
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SP:IC(34), No. 1, 2015, pp. 61-71.
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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],
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Wang, R.S.[Run-Sheng],
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1503
graph theory
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Zhong, P.[Ping],
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IP(19), No. 7, July 2010, pp. 1890-1907.
IEEE DOI
1007
BibRef
Earlier:
Object Detection Based on Combination of Conditional Random Field and
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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],
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Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse
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GeoRS(49), No. 2, February 2011, pp. 688-705.
IEEE DOI
1102
BibRef
Zhong, P.[Ping],
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Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral
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GeoRS(51), No. 4, April 2013, pp. 2260-2275.
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1304
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Chung, C.H.[Chi-Han],
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PR(43), No. 10, October 2010, pp. 3219-3232.
Elsevier DOI
1007
Object recognition; Hough transform; Image segmentation; Information retrieval
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Fu, H.[Hong],
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Recognition of attentive objects with a concept association network for
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Elsevier DOI
1007
Image annotation; Concept association network (CAN); Attentive
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Liu, T.[Tie],
Yuan, Z.J.[Ze-Jian],
Sun, J.[Jian],
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Tang, X.[Xiaoou],
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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,
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Yuan, Z.J.[Ze-Jian],
Video attention: Learning to detect a salient object sequence,
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IEEE DOI
0812
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Liu, T.[Tie],
Sun, J.[Jian],
Zheng, N.N.[Nan-Ning],
Tang, X.[Xiaoou],
Shum, H.Y.[Heung-Yeung],
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CVPR07(1-8).
IEEE DOI
0706
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Spain, M.[Merrielle],
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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
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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
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CirSysVideo(21), No. 8, August 2011, pp. 1163-1177.
IEEE DOI
1108
BibRef
Sidiropoulos, P.[Panagiotis],
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Video Tomographs and a Base Detector Selection Strategy for Improving
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CirSysVideo(24), No. 7, July 2014, pp. 1251-1264.
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1407
Accuracy
BibRef
Zhao, G.Q.[Gang-Qiang],
Yuan, J.S.[Jun-Song],
Xu, J.[Jiang],
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Discovering the Thematic Object in Commercial Videos,
MultMedMag(18), No. 3, 2011, pp. 56-65.
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1108
BibRef
Sternig, S.[Sabine],
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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
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Roth, P.M.[Peter M.],
Sternig, S.[Sabine],
Grabner, H.[Helmut],
Bischof, H.[Horst],
Classifier grids for robust adaptive object detection,
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CVPR13(1602-1609)
IEEE DOI
1309
An object frequently highlighted in a video.
BibRef
Wang, B.,
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CVPR21(14960-14970)
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1109
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DAGM11(456-461).
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1109
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ICIG11(593-598).
IEEE DOI
1109
Context aware without labeled examples. Segment, then cluster to
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Biologically plausible detection of amorphous objects in the wild,
WBCV11(24-31).
IEEE DOI
1106
E.g. animals. Saliency tuned for object detection.
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WACV11(125-131).
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See also Feature fusion for vehicle detection and tracking with low-angle cameras.
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Attribute: red, metal, ... class: Car, ...
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Earlier:
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0806
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0806
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0711
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A Generic Process Chain to Extract Key-Objects from Video Shots,
ICIP07(VI: 305-308).
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ICIP09(1425-1428).
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0911
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ECCV08(IV: 760-774).
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Salient Object Detection using concavity context,
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0706
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3D Probabilistic Feature Point Model for Object Detection and
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0612
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ICIP06(961-964).
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Grass Detection for Picture Quality Enhancement of TV Video,
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Blue Sky Detection for Picture Quality Enhancement,
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Gao, L.,
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0609
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0409
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A Statistically Selected Part-Based Probabilistic Model for Object
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0608
Select image patches that correspond to the object, not the
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Tsai, Y.T.J.[Yao-Tsung Jason],
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Kutics, A.[Andrea],
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Naming of Image Regions for User-Friendly Image Retrieval,
ICIAR06(I: 612-623).
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Earlier:
Detecting Prominent Objects for Image Retrieval,
ICIP05(III: 445-448).
IEEE DOI
0512
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Earlier:
Semantic Browsing and Retrieval in Image Libraries,
ICIAR04(I: 737-744).
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0409
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Cheng, L.S.[Li-Shui],
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A New Region-Based Active Contour for Object Extraction Using Level Set
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0507
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Appearance-Based Object Detection in Space-Variant Images:
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Regularly co-occuring features tend to be from the object.
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0409
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0409
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Ramstrom, O.,
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Object detection using background context,
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IEEE DOI
0409
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Levi, K.,
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Foreground object detection in changing background based on color
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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
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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 .