Video Captions Location Based on Artificial Fish Swarm Algorithm and Least Square Support Vector Machine
Chen Yanshen · Video Engineering · 2014
Feature selection is a key problem in video caption location,in order to improve location rate of the video caption,a novel video caption location model(AFSA-LSSVM) is proposed in this paper which integrates artificial fish swarm algorithm(AFSA) with least squares support vector machine(LSSVM).Firstly,video caption features are extracted,and then the optimal features subset are obtained by simulating feeding,clustering and the following behavior of fish warm,finally,LSSVM is used to establish the optimal video caption location model based on the optimal features subset,and the simulation experiment is carried out to test the performance of model.The results show that compared with other video caption location models,the proposed model has improved location rate and efficiency of video caption location,which can provide technical support for following video content security analysis.