A Video Retrieval Algorithm Based on Spatio-temporal Feature Curves and Key Frames
Xiuxin Chen, Kebin Jia, Zhipin Deng · 2009
Present video retrieval methods have many problems. To solve these problems, a new video retrieval algorithm base on the combination of video spatio-temporal feature curves and key frames is proposed in this paper. In this new algorithm, the feature curves are extracted from the video, and then two videos' feature curves are compared to determine whether they have the same content or not. In the comparing process, to solve the problems of brightness offset in all frames and abrupt intense disturbance, the paper uses Grads comparison method and Exception Factor. To improve retrieval precision for videos like films, a method based on clips and key frames is added after spatio-temporal feature curves based retrieval. The new algorithm can largely reduce the data amount of video retrieval. Experimental results show the effectiveness and robustness of the algorithm.