Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
In this paper we propose a new motion compensated prediction technique that enables successful predictive encoding during fades, blended scenes, temporally decorrelated noise, and...
Providing the best possible face-to-face video over low bandwidth networks is a major challenge for current teleconferencing systems especially when implementing multi-party conve...
This paper investigates the use of the anisotropic 3-D dualtree discrete wavelet transform (DDWT) for video coding. The 3-D DDWT is an attractive video representation because it i...