Research on the video advertising detection based on LS-SVM

Aimed to the difficult problem of detection information of video advertising from the massive video data, the novelty detection method of the video advertising based on the least squares support vector machine (LS-SVM) algorithm is introduced after analyzing and studying the feature of video advertising. The detection of the abrupt change shot and the gradual change shot in video data is realized by using color histogram algorithm, and the classification of the shot is achieved by using the particle swarm optimization and least squares support vector machine algorithm. The experiments show that the method based on the color histogram algorithm and LS-SVM algorithm has better Precision and recall, and can realize the accuracy detection of the video advertising. © 2015 SERSC.