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Published in

2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)

DOI: 10.1109/icme.2004.1394270

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Robust multi-level video representation using mean shift analysis

Proceedings article published in 2004 by Hai Gao, Xiaodong Yu, Ping Xue, Xiaodong Yu, Lei Wang, Lei Wang ORCID, Ping Xue, Qi Tian
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

A robust method for multi-level video representation based on the mean shift analysis (MSA) of low-level visual features is proposed in this paper. By tuning the bandwidth of MSA, video representation from the coarse level to the fine level can be achieved. This representation form provides a flexible scheme for content-based video analysis such as summarization, classification, and retrieval. Compared with the conventional k-means or fuzzy c-means algorithms, our method can adjust the resolution of representation in a more straightforward way, and is more robust since it does not need to initialize the cluster centers