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Di Zhong, Shih-Fu Chang. Video Shot Detection Combining Multiple Visual Features. ADVENT Technical Report #092 Columbia University, December 2000.

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Abstract

Shot based indexing techniques have been widely used to organize video data. Scene change detection is the most commonly used method to segment image sequences into coherent units for video indexing. A shot is a sequence of contiguous frames that are recorded from a camera. There is usually one continuous action within a shot, with no major change of scene content. However, there are still many different changes in a video (e.g. object motion, lighting change and camera motion), it is a nontrivial task to accurately detect scene changes. Furthermore, the cinematic techniques used between scenes, such as dissolves, fades and wipes, produce gradual scene changes that are harder to detect

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Di Zhong
Shih-Fu Chang

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@TechReport{dvmmPub34,
   Author = {Zhong, Di and Chang, Shih-Fu},
   Title = {Video Shot Detection Combining Multiple Visual Features},
   Institution = {Columbia University},
   Month = {December},
   Year = {2000}
}

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