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Proceedings Paper

Gradual cut detection using low-level vision for digital video
Author(s): Jae-Hyun Lee; Yeun-Sung Choi; Ok-bae Jang
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Paper 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.

Paper Details

Date Published: 16 September 1996
PDF: 6 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251264
Show Author Affiliations
Jae-Hyun Lee, Chonbuk National Univ. (South Korea)
Yeun-Sung Choi, Kunsan National Univ. (South Korea)
Ok-bae Jang, Chonbuk National Univ. (South Korea)


Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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