Temporal multiresolution analysis for video segmentation

Yi Lin; Mohan S. Kankanhalli; TatSeng Chua

doi:10.1117/12.373582

23 December 1999 Temporal multiresolution analysis for video segmentation

Yi Lin, Mohan S. Kankanhalli, TatSeng Chua

Proceedings Volume 3972, Storage and Retrieval for Media Databases 2000; (1999) https://doi.org/10.1117/12.373582
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

Yi Lin, Mohan S. Kankanhalli, and TatSeng Chua "Temporal multiresolution analysis for video segmentation", Proc. SPIE 3972, Storage and Retrieval for Media Databases 2000, (23 December 1999); https://doi.org/10.1117/12.373582

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