Paper
23 December 1997 Detection of gradual scene changes for parsing of video data
Samuel Moon-Ho Song, Tae-Hoon Kwon, Woonkyung Michael Kim, Hyeokman Kim, Byung-Do Rhee
Author Affiliations +
Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298449
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States
Abstract
The automatic video parser, a necessary tool for the development and maintenance of a video library, must accurately detect video scene changes so that the resulting video clips can be indexed in some fashion and stored in a video database. With the current existing algorithms, abrupt scene changes are detected fairly well; however, gradual scene changes, including fade-ins, fade-outs, and dissolves, are often missed. In this paper, we propose a new gradual scene change detection algorithm. In particular, we focus on fade- ins, fade-outs, and dissolves. The proposed algorithm is based on the chromatic video edit model. The video edit model indicates that, for sequences without motion, the second partial derivative with respect to time is zero during fade- ins, fade-outs, and dissolves. However, it is also zero for static scenes. Thus, the proposed algorithm computes the first (to disregard static scenes) and second partial derivatives, and if the norm of the second derivative is 'small' relative to the norm of the first derivative, the algorithm declares a gradual scene change. The efficacy of our algorithm is demonstrated using a number of video clips and some performance comparisons are made with other existing approaches.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel Moon-Ho Song, Tae-Hoon Kwon, Woonkyung Michael Kim, Hyeokman Kim, and Byung-Do Rhee "Detection of gradual scene changes for parsing of video data", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298449
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Cited by 25 scholarly publications.
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KEYWORDS
Video

Video compression

Colorimetry

Algorithm development

Image compression

Video processing

Motion models

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