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Proceedings Paper

Processing of partial video data for detection of wipes
Author(s): Hyeokman Kim; Sung-Joon Park; Jinho Lee; Woonkyung Michael Kim; Samuel Moon-Ho Song
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Paper Abstract

With the currently existing shot change detection algorithms, abrupt changes are detected fairly well. It is thus more challenging to detect gradual changes, including fades, dissolves, and wipes, as these are often missed or falsely detected. In this paper, we focus on the detection of wipes. The proposed algorithm begins by processing the visual rhythm, a portion of the DC image sequence. It is a single image, a sub-sampled version of a full video, in which the sampling is performed in a predetermined and systematic fashion. The visual rhythm contains distinctive patterns or visual features for many different types of video effects. The different video effects manifest themselves differently on the visual rhythm. In particular, wipes appear as curves, which run from the top to the bottom of the visual rhythm. Thus, using the visual rhythm, it becomes possible to automatically detect wipes, simply by determining various lines and curves on the visual rhythm.

Paper Details

Date Published: 17 December 1998
PDF: 10 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333847
Show Author Affiliations
Hyeokman Kim, Korea Telecom (South Korea)
Sung-Joon Park, Korea Univ. (South Korea)
Jinho Lee, Korea Telecom (South Korea)
Woonkyung Michael Kim, Korea Univ. (South Korea)
Samuel Moon-Ho Song, Korea Univ. (South Korea)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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