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http://dx.doi.org/10.3745/KIPSTB.2005.12B.4.403

Shot Transition Detection by Compensating Camera Operations  

Jang Seok-Woo (한국건설기술연구원 건설정보화연구부)
Choi Hyung-Il (숭실대학교 미디어학부)
Abstract
In this paper, we propose an effective method for detecting and classifying shot transitions in video sequences. The proposed method detects and classifies shot transitions including cuts, fades and dissolves by compensating camera operations in video sequences, so that our method prevents false positives resulting from camera operations. Also, our method eliminates local moving objects in the process of compensating camera operations, so that our method prevents errors resulting from moving objects. In the experiments, we show that our shot transition approach can work as a promising solution by comparing the proposed method with previously known methods in terms of performance.
Keywords
Shot Transition Detection; Motion Vector; Motion Compensation; Feature Extraction;
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Times Cited By KSCI : 2  (Citation Analysis)
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