Efficient Scene Change Algorithm Based On Statistical Feature In The DCT Domain

摘要

In this paper, we propose an effective scene change detection algorithm directly in compressed domain. The proposed scene change algorithm (including abrupt change and) test the n frame and n+1 frame through the extracting the feature of each frame. When extract the features of frame, two-dimensional statistical feature ml-σ from DCT coefficients without its inverse transform was computed, Divide ml-σ space into 42 unequal partitions (subspaces) and count the numbers pr within the 42 subspaces (entries) as the feature vector to judge the different of the two frames locating scene changes is operated by comparison tests. In comparison with existing representative techniques, the experimental results show the superiority of the proposed method in terms of precision and processing speed.