A motion-flow-based fast video retrieval system
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Video booklet: a natural video searching and browsing interface
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Synchronized background music generation for video
Proceedings of the international conference on Advances in computer entertainment technology
Automated music video generation using multi-level feature-based segmentation
Multimedia Tools and Applications
User generated video annotation using geo-tagged image databases
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Efficient shot boundary detection for action movies using blockwise motion-based features
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Feature-based synchronization of video and background music
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Live sharing with multimodal modes in mobile network
Journal of Mobile Multimedia
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It is a challenging issue to analyze video content for video mining tasks due to lacking of effective representation of video. As motion is a distinctive feature of video sequence, it is a reasonable and efficient manner to represent video content based on motion. In this paper we proposed a novel motion-based representation for video mining tasks, including a fast dominant motion extraction scheme, called integral template match (ITM), and a set of qualitative and quantitative description schemes. Currently, we applied it to such video mining tasks as shot boundary detection, camera motion segmentation and recognition. The experiments on the test collection of TREC2002 video track have demonstrated the efficiency and robustness of the proposed schemes.