Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00371-002-0184-9
Title: A cinematic-based framework for scene boundary detection in video
Authors: Wang, J.
Chua, T.-S. 
Keywords: Cinematic model
Scene detection
Video retrieval
Issue Date: 2003
Source: Wang, J., Chua, T.-S. (2003). A cinematic-based framework for scene boundary detection in video. Visual Computer 19 (5) : 329-341. ScholarBank@NUS Repository. https://doi.org/10.1007/s00371-002-0184-9
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.
Source Title: Visual Computer
URI: http://scholarbank.nus.edu.sg/handle/10635/41172
ISSN: 01782789
DOI: 10.1007/s00371-002-0184-9
Appears in Collections:Staff Publications

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