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Proceedings Paper

Temporal multiresolution analysis for video segmentation
Author(s): Yi Lin; Mohan S. Kankanhalli; TatSeng Chua
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Paper Abstract

Video segmentation is an important step in many of the video applications. We observe that the video shot boundary is a multi-resolution edge phenomenon in the feature space. Based on this observation, we have developed a novel temporal multi-resolution analysis (TMRA) based algorithm using Canny wavelets to perform temporal video segmentation. Information across multiple resolution is used to help detect as well as locate abrupt and gradual transitions. We present the theoretical basis of the algorithm followed by the implementation as well as the result. In this paper the TMRA technique has been implemented using color histogram in the raw domain and DCT coefficients in the compressed video streams as the feature space. Experimental result shows that this method can detect as well as characterize both the abrupt and gradual shot boundaries. The technique also shows good noise tolerance characteristics.

Paper Details

Date Published: 23 December 1999
PDF: 12 pages
Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); doi: 10.1117/12.373582
Show Author Affiliations
Yi Lin, National Univ. of Singapore (Singapore)
Mohan S. Kankanhalli, National Univ. of Singapore (Singapore)
TatSeng Chua, National Univ. of Singapore (Singapore)

Published in SPIE Proceedings Vol. 3972:
Storage and Retrieval for Media Databases 2000
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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