摘要

A method was developed to enable users of video sharing websites to easily retrieve video scenes relevant to their interests. The system analyzes both text and non-text aspects of a user's comment and then retrieves and displays relevant scenes along with attached comments. The text analysis works in tandem with non-text features, namely, the selected area and temporal duration associated with user comments. In this way, our system supports a better-organized retrieval of scenes that have been commented on with a higher degree of relevancy than conventional methods, such as using matching keywords. We describe our method and the relation between the scenes and discuss a prototype system.

  • 出版日期2011-8