An Effective and Fast Scene Change Detection Algorithm for MPEG Compressed Videos
Main information
In this paper, we propose an effective and fast scene change detection
algorithm directly in MPEG compressed domain. The proposed scene change
detection exploits the MPEG motion estimation and compensation scheme by
examining the prediction status for each macro-block inside B frames and P
frames. As a result, locating both abrupt and dissolved scene changes is operated
by a sequence of comparison tests, and no feature extraction or histogram
differentiation is needed. Therefore, the proposed algorithm can operate in
compressed domain, and suitable for real-time implementations. Extensive experiments
illustrate that the proposed algorithm achieves up to 94% precision
for abrupt scene change detection and 100% for gradual scene change detection.
In comparison with similar existing techniques, the proposed algorithm
achieves superiority measured by recall and precision rates.
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