Near-duplicate Video Detection Method Based on Representative-sequence

To solve the problem that temporal or spatial features only characterized the video content in an unilateral way,a method of near-duplicate video detection based on representative-sequence was presented.Firstly,the video was divided into different scenes according to the variance of the Chisquared color histogram and grayscale OM(ordinal measurement),and then the frame rate was decreased to a particular rate.For each scene,every certain number of frames were merged into one TIRI frame,and then the weighted grayscale mutual information was calculated to select the representative frames from the TIRI frames.Next,several features were extracted from the representative frames for matching,including the mean,standard deviation,contrast,and an OM sequence of grayscale,as well as color distribution descriptors,and an OM sequence of edge information.Finally,whether or not the video was a near-duplicate was determined by the match degree of the characteristics.Resultsshow that the algorithm presented possesses good robustness and detection capabilities.