User and Device Adaptation for Sports Video Content

Several methods for summarizing sports videos by selecting only important scenes based upon their semantic content have been proposed so far. However, there remain two problems: (1) what is important depends on each user's preferences, and (2) the summaries should be tailored for media devices that each user has. To solve these problems, we discuss user and device adaptation for sports video summarization. The proposed framework dynamically adapts the video content to fit user's preferences using user profiles which describe the preference degrees for keywords. The video content is then presented through proper media such as image or text according to the confinement of media devices. For sports videos, the framework is tested using PCs and mobile phones as the media devices.

[1]  Tomio Echigo,et al.  Meta-data framework for constructing individualized video digest , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[2]  John R. Smith,et al.  Video personalization and summarization system for usage environment , 2004, J. Vis. Commun. Image Represent..

[3]  Fumiko Satoh,et al.  Learning personalized video highlights from detailed MPEG-7 metadata , 2002, Proceedings. International Conference on Image Processing.

[4]  Shih-Fu Chang,et al.  Overview of the MPEG-7 standard , 2001, IEEE Trans. Circuits Syst. Video Technol..

[5]  John R. Smith,et al.  Using MPEG-7 and MPEG-21 for personalizing video , 2004, IEEE MultiMedia.

[6]  Noboru Babaguchi,et al.  Video Summarization for Large Sports Video Archives , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[7]  Noboru Babaguchi,et al.  Personalized abstraction of broadcasted American football video by highlight selection , 2004, IEEE Transactions on Multimedia.

[8]  Noboru Babaguchi,et al.  Automatic Video Summarization of Sports Videos Using Metadata , 2004, PCM.