2007 Volume 61 Issue 12 Pages 1785-1794
We propose an automatic and adaptive method to detect relatively important parts in multimedia content.The important parts of content should characterize the whole content and also be regarded as its summary.By applying our method,users capture important screenshots of the content and extract a set of important parts of the content that contain characteristic scenes.To evaluate the importance of the various parts,our method uses the user's viewing history.Numerical experiments show the feasibility of the proposed method.
The Proceedings of the Circle of Television Engineers
The Proceedings of the Institute of Television Engineers
The Proceedings of the Institute of Television Engineers
The Institute of Image Information and Televistion Engineers
The Journal of the Institute of Television Engineers of Japan
The Journal of the Institute of Television Engineers of Japan