Performance of optical flow techniques
International Journal of Computer Vision
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
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
Video Indexing Using MPEG Motion Compensation Vectors
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Motion and Color-Based Video Indexing and Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Finding Periodicity in Space and Time
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
SVMTorch: support vector machines for large-scale regression problems
The Journal of Machine Learning Research
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Nonparametric motion model with applications to camera motion pattern classification
Proceedings of the 12th annual ACM international conference on Multimedia
Motion-Based Selection of Relevant Video Segments for Video Summarization
Multimedia Tools and Applications
Classification of video events using 4-dimensional time-compressed motion features
Proceedings of the 6th ACM international conference on Image and video retrieval
Video event detection using motion relativity and visual relatedness
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Rank-test similarity measure between video segments for local descriptors
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
A system that learns to tag videos by watching youtube
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Text-based video content classification for online video-sharing sites
Journal of the American Society for Information Science and Technology
An effective method for video genre classification
Proceedings of the ACM International Conference on Image and Video Retrieval
A rough set approach to video genre classification
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A global-motion analysis method via rough-set-based video pre-classification
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Motion-information-based video retrieval system using rough pre-classification
Transactions on Rough Sets V
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Today's content-based video retrieval technologies are still far from human's requirements. A fundamental reason is the lack of content representation that is able to bridge the gap between visual features and semantic conception in video. In this paper, we propose a motion pattern descriptor, motion texture that characterizes motion in a generic way. With this representation, we design a semantic classification scheme to effectively map video clips to semantic categories. Support vector machines (SVMs) are used as the classifiers. In addition, this scheme also improves significantly the performance of motion-based shot retrieval due to the comprehensiveness and effectiveness of motion pattern descriptor and the semantic classification capability as shown by experimental evaluations.