Hongjiang Zhang, John Y. A. Wang, Yucel Altunbasak  Home/Search
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Abstract: Video compression and retrieval have been treated as separate problems in the past. In this paper, we present an object-based video representation that facilitates both compression and retrieval. Typically in retrieval applications, a video sequence is subdivided in time into a set of shorter segments each of which contains similar content. These segments are represented by 2-D representative images called "key-frames" that greatly reduce amount of data that is searched. However, keyframes do... (Update)
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BibTeX entry: (Update)
H.J. Zhang, John Y. A. Wang, and Yucel Altunbasak. Content-based video retrieval and compression: A unified solution. In Proc. IEEE Int. Conf. on Image Proc., 1997. http://citeseer.ist.psu.edu/zhang97contentbased.html More
@inproceedings{ zhang97contentbased,
author = "Hongjiang Zhang and J. Y. A. Wang and Yucel Altunbasak",
title = "Content-Based Video Retrieval and Compression: A Unified Solution",
booktitle = "{ICIP} (1)",
pages = "13-16",
year = "1997",
url = "citeseer.ist.psu.edu/zhang97contentbased.html" }
Citations (may not include all citations):224 Representing Moving Images with Layers - Wang, Adelson - 1994
48 Retrieval and Browsing: An Integrated and Content-Based Solu.. (context) - Zhang, Parsing - 1995
41 Salient Video Stills: Content and Context Preserved (context) - Teodosio, Bender - 1993
26 Efficient Matching and Clustering of Video Shots (context) - Yeung, Liu - 1995
6 IEC JTC1/SC29 /WG11 N (context) - MPEG- - 1996
3 Content Access for Image/Video Coding: The Fourth Criterion (context) - Picard - 1994
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