Meta-data framework for constructing individualized video digest

This paper presents a framework for providing video digests that are personalized by profiles of individual users. Video contents have meta-data described manually from a set of predefined keywords that have temporal duration. Content profiles are prepared by a provider, which are vectors of the importance value of keywords, and only one should be selected by a user. In addition, a user profile is collected by the user, which has the same components. The importance scores of an image sequence along the time axis can be calculated from a combination of these profiles. Finally, the video clips can be collected as the video digest from the whole contents, which have higher importance scores than a threshold transformed from the length of the user requirement