Classification of Near-Duplicate Video Segments Based on Their Appearance Patterns
Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, JapanDOI: 10.1109/ICPR.2010.766 Conference: Pattern Recognition (ICPR), 2010 20th International Conference on
Source: IEEE Xplore
We propose a method that analyzes the structure of a large volume of general broadcast video data by the appearance patterns of near-duplicate video segments. We define six classification rules based on the appearance patterns of near-duplicate video segments according to their roles, and evaluated them over more than 1,000 hours of actual broadcast video data.
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