Please use this identifier to cite or link to this item: https://doi.org/10.1023/A:1011351316971
Title: Shot change detection using scene-based constraint
Authors: Cheong, L.-F. 
Huo, H. 
Keywords: Optical flow
Shot change detection
Video segmentation
Issue Date: Jun-2001
Citation: Cheong, L.-F., Huo, H. (2001-06). Shot change detection using scene-based constraint. Multimedia Tools and Applications 14 (2) : 175-186. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1011351316971
Abstract: A key step for managing a large video database is to partition the video sequences into shots. Past approaches to this problem tend to confuse gradual shot changes with changes caused by smooth camera motions. This is in part due to the fact that camera motion has not been dealt with in a more fundamental way. We propose an approach that is based on a physical constraint used in optical flow analysis, namely, the total brightness of a scene point across two frames should remain constant if the change across two frames is a result of smooth camera motion. Since the brightness constraint would be violated across a shot change, the detection can be based on detecting the violation of this constraint. It is robust because it uses only the qualitative aspect of the brightness constraint - detecting a scene change rather than estimating the scene itself. Moreover, by tapping on the significant know-how in using this constraint, the algorithm's robustness is further enhanced. Experimental results are presented to demonstrate the performance of various algorithms. It was shown that our algorithm is less likely to interpret gradual camera motions as shot changes, resulting in a significantly better precision performance than most other algorithms.
Source Title: Multimedia Tools and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/81158
ISSN: 13807501
DOI: 10.1023/A:1011351316971
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