23 March 1995 Evaluation of video sequence indexing and hierarchical video indexing
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Abstract
As a first step to creating a video database, a video sequence has to be segmented into several subsequences based on significant changes in the scene. This enables the media user to identify the whole or a part of the sequence and to retrieve scenes of interest from a large video database. Researchers in the past have used a histogram based inter-frame difference approach to identify significant scene changes. To determine which is the best color coordinate system for video indexing, we have evaluated the histogram based indexing method using different color coordinate systems -- RGB, HSV, YIQ, L*a*b*, L*u*v* & Munsell -- and compared the results for accuracy of indexing with reference to subjective indexing. Since it is difficult to determine the exact threshold value to obtain reasonably good results, we also propose a vide segmenting method called hierarchical histogram based indexing that segments a video sequence into several levels of subsequences using different levels of threshold.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ullas Gargi, S. Oswald, D. A. Koshiba, Sadashiva Devadiga, Rangachar Kasturi, "Evaluation of video sequence indexing and hierarchical video indexing", Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205301; https://doi.org/10.1117/12.205301
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