Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39970
Title: A framework for video scene boundary detection
Authors: Wang, J.
Chua, T.-S. 
Keywords: Cinematic model
Scene detection
Video retrieval
Issue Date: 2002
Source: Wang, J.,Chua, T.-S. (2002). A framework for video scene boundary detection. Proceedings of the ACM International Multimedia Conference and Exhibition : 243-246. ScholarBank@NUS Repository.
Abstract: Most current video retrieval systems use shot as the basis for information organization and access. In cinematography, scene is the basic story unit that the directors use to convey their ideas. This paper proposes a framework based on the concept of continuity to analyze video contents and extract scene boundaries. Starting from a set of shots, the framework successively applies the concept of visual, position, cameral focal distance, motion, audio and semantic continuity to group shots that exhibit some form of continuity into scenes. The idea is tested using the first three levels of continuity to extract the scenes defined using most common cinematic rules. The method has been found to be effective.
Source Title: Proceedings of the ACM International Multimedia Conference and Exhibition
URI: http://scholarbank.nus.edu.sg/handle/10635/39970
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

69
checked on Nov 19, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.