This paper presents a video-based motion modeling technique for generating physically realistic human motion from monocular video sequences. We formulate the video-based motion mo...
— We examine metrics to predict the visibility of packet losses in MPEG-2 and H.264 compressed video. We use subjective data that has a wide range of parameters, including differ...
In this paper, we propose an adaptive 3D-DCT compression technique, which dynamically determines an optimal size of the video cube based on the motion analysis. The technique cons...
Borko Furht, Ken Gustafson, Hesong Huang, Oge Marq...
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...