Learning atomic human actions using variable-length Markov models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Motion region-based trajectory analysis and re-ranking for video retrieval
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A fast cube-based video shot retrieval using 3D moment-preserving technique
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Proceedings of the 3rd international workshop on Automated information extraction in media production
Human behavior classification by analyzing periodic motions
Frontiers of Computer Science in China
Extracting representative motion flows for effective video retrieval
Multimedia Tools and Applications
Human action segmentation and classification based on the Isomap algorithm
Multimedia Tools and Applications
SHIATSU: tagging and retrieving videos without worries
Multimedia Tools and Applications
Markov random fields for sketch based video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Recognizing jump patterns with physics-based validation in human moving trajectory
Journal of Visual Communication and Image Representation
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In this paper, we propose the use of motion vectors embedded in MPEG bitstreams to generate so-called ldquomotion flowsrdquo, which are applied to perform video retrieval. By using the motion vectors directly, we do not need to consider the shape of a moving object and its corresponding trajectory. Instead, we simply ldquolinkrdquo the local motion vectors across consecutive video frames to form motion flows, which are then recorded and stored in a video database. In the video retrieval phase, we propose a new matching strategy to execute the video retrieval task. Motions that do not belong to the mainstream motion flows are filtered out by our proposed algorithm. The retrieval process can be triggered by query-by-sketch or query-by-example. The experiment results show that our method is indeed superb in the video retrieval process.