NDLI: A cinematic-based framework for scene boundary detection in video

Content Provider	Springer Nature Link
Author	Wang, Jihua Chua, Tat Seng
Copyright Year	2003
Abstract	Most current video retrieval systems use shots as the basis for information organization and access. In cinematography, scene is the basic story unit that the directors use to compose and 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, camera focal distance, motion, audio and semantic continuity to group shots that exhibit some form of continuity into scenes. The framework helps to explain the principles and the heuristics behind most cinematic rules. The idea is tested using the first three levels of continuity to extract the scenes defined using the most common cinematic rules. The method has been found to be effective.
Starting Page	329
Ending Page	341
Page Count	13
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	19
Issue Number	5
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2003-08-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cinematic model Scene detection Video retrieval Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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