Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing Local Surface Orientation and Shape from Texture forCurved Surfaces
International Journal of Computer Vision
Multibody Grouping from Motion Images
International Journal of Computer Vision
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
International Journal of Computer Vision - 1998 Marr Prize
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Multiple view geometry in computer visiond
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Cinematic Primitives for Multimedia
IEEE Computer Graphics and Applications
Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
An Affine Invariant Interest Point Detector
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On Affine Invariant Clustering and Automatic Cast Listing in Movies
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Video Summaries through Mosaic-Based Shot and Scene Clustering
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Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
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SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
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CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A multi-body factorization method for motion analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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International Journal of Computer Vision
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
International Journal of Computer Vision
Segmenting, modeling, and matching video clips containing multiple moving objects
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
Content based video matching using spatiotemporal volumes
Computer Vision and Image Understanding
Clip based video summarization and ranking
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Robust sequential view planning for object recognition using multiple cameras
Image and Vision Computing
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A polynomial model of surgical gestures for real-time retrieval of surgery videos
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Multi-object reconstruction from dynamic scenes: An object-centered approach
Computer Vision and Image Understanding
Hierarchical object discovery and dense modelling from motion cues in RGB-D video
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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This paper presents a novel representation for dynamic scenes composed of multiple rigid objects that may undergo different motions and are observed by a moving camera. Multiview constraints associated with groups of affine-covariant scene patches and a normalized description of their appearance are used to segment a scene into its rigid components, construct three-dimensional models of these components, and match instances of models recovered from different image sequences. The proposed approach has been applied to the detection and matching of moving objects in video sequences and to shot matching, i.e., the identification of shots that depict the same scene in a video clip.