Video cut detection using frame windows
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
A unified shot boundary detection framework based on graph partition model
Proceedings of the 13th annual ACM international conference on Multimedia
A new general framework for shot boundary detection and key-frame extraction
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Video Shot Detection Using Hidden Markov Models with Complementary Features
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
Robust Dissolve Detection Using Local Feature Tracking
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
A unified approach to scene change detection in uncompressed and compressed video
IEEE Transactions on Consumer Electronics
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Shot detection is a fundamental step in video processing and analysis that should be achieved with high degree of accuracy. In this paper, we introduce a unified algorithm for shot detection in sports video using Fuzzy Logic as a powerful inference mechanism. Fuzzy logic overcomes the problems of hard cut thresholds and the need to large training data used in previous work. The proposed algorithm integrates many features like color histogram, edgeness, intensity variance, etc. Membership functions to represent different features and transitions between shots have been developed to detect different shot boundary and transition types. We address the detection of cut, fade, dissolve, and wipe shot transitions. The results show that our algorithm achieves high degree of accuracy.