Sharp Laboratories of America, Inc

Peter J L Van Beek

Richard J Qian

M Ibrahim Sezan

Creating semantic summaries and abstractions of video requires high level knowledge of the domain of the video. Obtaining this high level information without human intervention is problematic. A method of producing video summaries and abstractions is provided where high level knowledge necessary for meaningful summarization is obtained from existing sources such as the worldwide web or an electronic programming guide. With this information, the summarization system can automatically identify significant events or subjects and extract video related to these events or subjects.

Method of creating a semantic video summary using information from secondary sources

A method for characterizing an image where a number of test areas of predefined shape and size are located on the image. The color or the texture of the image over each of the test areas is quantified. The image can be characterized by statistical descriptions of the frequency distribution of color or texture of the test areas.

Method for image characterization using color and texture statistics with embedded spatial information

Providing at least one description scheme. For audio and/or video programs a program description scheme provides information regarding the associated program. For the user a user description scheme provides information regarding the user's preferences. For the system a system description scheme provides information regarding the system. The description schemes are independent of one another. Preferably, the program description scheme, user description scheme, and system description scheme are independent of one another.

Growing community of inventors

Vancouver, WA, United States of America

Peter J L Van Beek