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Conference Paper Automatic Dissolve Detection Scheme Based on Visual Rhythm Spectrum
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Authors
Seong Jun Park, Kwang-Deok Seo, Jae-Gon Kim, Samuel Moon-Ho Song
Issue Date
2005-11
Citation
Pacific Rim Conference on Multimedia (PCM) 2005 (LNCS 3767), v.3767, pp.787-798
Publisher
Springer
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11581772_69
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. Abrupt scene changes and wipes are detected fairly well. However, dissolve changes have been often missed. In this paper, we propose a robust dissolve detection scheme based on Visual Rhythm Spectrum. The Visual Rhythm Spectrum contains distinctive patterns or visual features for many different types of video effects. The efficiency of the proposed scheme is demonstrated using a number of video clips and some performance comparisons are made with other existing approaches. © Springer-Verlag Berlin Heidelberg 2005.
KSP Keywords
Detection scheme, Dissolve detection, Existing Approaches, Video clips, Video library, Visual Features, Visual rhythm, video database