Automatic dissolve detection scheme based on visual rhythm spectrum

Authors:
Seong Jun Park;Kwang-Deok Seo;Jae-Gon Kim;Samuel Moon-Ho Song
Affiliations:
Mobile Handset R&D Center, LG Electronics Inc., Seoul, Korea;Computer & Telecommunications Engineering Division, Yonsei Univ., Gangwondo, Korea;Broadcasting Media Research Group, ETRI, Daejeon, Korea;School of Mechanical and Aerospace Engineering, Seoul National Univ., Seoul, Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2005

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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.