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Real-time and Automatic Close-up Retrieval from Compressed Videos

Main information
In this paper, we propose a thorough scheme, by virtue of camera zooming descriptor with two-level threshold, to automatically retrieve close-ups directly from MPEG compressed videos based on camera motion analysis. In the retrieval process, we build camera-motion-based semantic retrieval. To improve the coverage of the proposed scheme, we investigate close-up retrieval in all kinds of videos. Extensive experiments illustrate that the proposed scheme provides promising retrieval results under real-time and automatic application scenario. 
No referenced Knowhow defined
WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang, Ying Weng 
2007-11-05 16:28  Request for more detail


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For educational purposes only - if public document.  For educational purposes only - if public document. 


Protection Status
Copyright School of Informatics, University of Bradford.  Patent Pending. 
Licensing Pending.  Utility Model Pending. 
 
13th International Conference on Automation and Computing, 15 September 2007, Staffordshire University, Stafford, UK 
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close-up-retrieval-from-compressed-videos.pdf
 
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