Gradual cut detection using low-level vision for digital video

Jae-Hyun Lee; Yeun-Sung Choi; Ok-bae Jang

doi:10.1117/12.251264

16 September 1996 Gradual cut detection using low-level vision for digital video

Jae-Hyun Lee, Yeun-Sung Choi, Ok-bae Jang

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251264
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

Digital video computing and organization is one of the important issues in multimedia system, signal compression, or database. Video should be segmented into shots to be used for identification and indexing. This approach requires a suitable method to automatically locate cut points in order to separate shot in a video. Automatic cut detection to isolate shots in a video has received considerable attention due to many practical applications; our video database, browsing, authoring system, retrieval and movie. Previous studies are based on a set of difference mechanisms and they measured the content changes between video frames. But they could not detect more special effects which include dissolve, wipe, fade-in, fade-out, and structured flashing. In this paper, a new cut detection method for gradual transition based on computer vision techniques is proposed. And then, experimental results applied to commercial video are presented and evaluated.

Citation Download Citation

Jae-Hyun Lee, Yeun-Sung Choi, and Ok-bae Jang "Gradual cut detection using low-level vision for digital video", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251264

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