AIIA shot boundary detection at TRECVID 2006

In this paper, we describe the Artificial Intelligence and Information Analysis (AIIA) laboratory approach for shot boundary detection as applied to the TRECVID 2006 video retrieval benchmark. The paper describes the approach as well as the performance analysis. The method relies on evaluating mutual information between multiple pairs of frames within a certain temporal window. The performance of the method on the benchmark data was in general very satisfactory.

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