Image Clustering Techniques for the Exploration of Video Sequences

Digital video libraries are generating tremendous interest in pattern recognition, computer vision, and multimedia research communities. The amount of information currently available in internet and in proprietary databases is increasing every day. In the present study a systematic study is made for the exploration of video sequences. The system, GAMBAL-EVS, segments video sequences extracting an image for each shot and then clusters such images and presents them in a visualization system. The system permits to find similarities between images and to traverse along the video sequences to find the relevant ones.