In order to ensure that there are no repetitive redundant images in laser video image retrieval results , a laser video image retrieval method based on mutual information mean square error extraction of key frames is studied.In this method , a key frame extraction method based on the mutual information mean square error of laser video image color is adopted to maximize the mutual information mean square error of laser video image to set the criteria for the clustering center of laser video image key frame , so as to extract non-repetitive video image key frames by clustering. Through the laser video image retrieval method based on key frame , the extracted key frame is taken as the core judg- ment content of laser video image retrieval , and the laser video image with significant similarity to the required image key frame is extracted to complete the laser video image retrieval. The experimental results show that the redundancy of key frames extracted by this method is only 0. 01 , and the test value of MAP index of laser video image retrieval results is as high as 0. 98. There is no repetitive redundant image in the retrieval results.