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A Block-Edge-Pattern-Based Content Descriptor in DCT Domain

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In this correspondence, we describe a robust and effective content descriptor based on block-edge patterns extracted in discrete cosine transform domain, which is suitable for applications in JPEG or MPEG compressed images and videos. This content descriptor is constructed by a run-length edge-block histogram with three patterns including horizontal edge, vertical edge and no edge. In comparison with existing descriptors, the proposed features: 1) low-cost computing suitable for real-time implementation and high-speed processing of compressed videos; 2) robust to orientation changes such as rotation, noise, reverse, etc.; 3) operates in compressed domain. Extensive experiments support that the proposed content descriptor is effective in describing visual content, and achieves superior performances in terms of retrieval precision and recall rates. 
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WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang 
2008-06-23 00:51  Request for more detail


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


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Copyright School of Informatics, University of Bradford.  Patent Protection not sought. 
Licensing Protection not sought.  Utility Model Protection not sought. 
 
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL.18, NO.7, pp.994-998,JULY 2008 
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