In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
This paper addresses the super-resolution problem for low quality cartoon videos widely distributed on the web, which are generated by downsampling and compression from the source...
Multi-camera correspondence of moving people is a relatively new issue in computer vision. To cope with it, we propose a simple but effective method based on the principal axis of...
Motion information is an important cue for human to perceive video content. However, it is hard to use motion in video retrieval due to the lack of effective representation. In th...
In this paper we proposed a video signature based on ordinal measure of resampled video frames, which is robust to changing compression formats, compression ratios, frame sizes an...