Distance measures for signal processing and pattern recognition
Signal Processing
The theory and practice of Bayesian image labeling
International Journal of Computer Vision
Qualitative recognition of motion using temporal texture
CVGIP: Image Understanding - Special issue on purposive, qualitative, active vision
Computation and analysis of image motion: a synopsis of current problems and methods
International Journal of Computer Vision
Texture Modeling by Multiple Pairwise Pixel Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
A distance measure for video sequences
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Symbolic Description and Visual Querying of Image Sequences Using Spatio-Temporal Logic
IEEE Transactions on Knowledge and Data Engineering
Detecting and Tracking Multiple Moving Objects Using Temporal Integration
ECCV '92 Proceedings of the Second European Conference on Computer Vision
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Multimedia Systems - Special section on video libraries
Efficient Query Refinement for Image Retrieval
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Activity Based Video Shot Retrieval and Ranking
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Statistical Motion-Based Object Indexing Using Optic Flow Field
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Statistical models of video structure for content analysis and characterization
IEEE Transactions on Image Processing
Models for motion-based video indexing and retrieval
IEEE Transactions on Image Processing
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
2D motion description and contextual motion analysis: issues and new models
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
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We present an original approach for motion-based video retrieval involving partial query. More precisely, we propose a unified statistical framework allowing us to simultaneously extract entities of interest in video shots and supply the associated content-based characterization, which can be used to satisfy partial queries. It relies on the analysis of motion activity in video sequences based on a non-parametric probabilistic modeling of motion information. Areas comprising relevant types of motion activity are extracted from a Markovian region-level labeling applied to the adjacency graph of an initial block-based partition of the image. As a consequence, given a set of videos, we are able to construct a structured base of samples of entities of interest represented by their associated statistical models of motion activity. The retrieval operations is then formulated as a Bayesian inference issue using the MAP criterion. We report different results of extraction of entities of interest in video sequences and examples of retrieval operations performed on a base composed of one hundred video samples.