Automatic partitioning of full-motion video
HongJiang Zhang , Atreyi Kankanhalli and Stephen W. Smoliar, Institute of Systems Science, National University of Singapore, Heng Mui Keng Terrace, Kent Ridge, Singapore 0511, Republic of Singapore. E-mail address: zhj@iss.nus.sg
Correspondence to: H.J. Zhang
Abstract
Partitioning a video source into meaningful segments is an important step for video indexing. We present a comprehensive study of a partitioning system that detects segment boundaries. The system is based on a set of difference metrics and it measures the content changes between video frames. A twin-comparison approach has been developed to solve the problem of detecting transitions implemented by special effects. To eliminate ...
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