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Proceedings Paper

Evaluation of video sequence indexing and hierarchical video indexing
Author(s): Ullas Gargi; S. Oswald; D. A. Koshiba; Sadashiva Devadiga; Rangachar Kasturi
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Paper 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.

Paper Details

Date Published: 23 March 1995
PDF: 8 pages
Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); doi: 10.1117/12.205301
Show Author Affiliations
Ullas Gargi, The Pennsylvania State Univ. (United States)
S. Oswald, The Pennsylvania State Univ. (United States)
D. A. Koshiba, The Pennsylvania State Univ. (United States)
Sadashiva Devadiga, The Pennsylvania State Univ. (United States)
Rangachar Kasturi, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 2420:
Storage and Retrieval for Image and Video Databases III
Wayne Niblack; Ramesh C. Jain, Editor(s)

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