Semantic Based Sport Video Browsing
Xueming Qian · InTech eBooks · 2012
In this chapter, we focus our attention on semantic based sport video highlights detection and semantic based sport video browsing. Users are more interested in sport video highlights than the normal kicks. They site before their TV sets to enjoy the exciting moments that their favorite teams shooting goals. As audiences enjoy the highlight of the video content, usually they have patient to the inserted video Advertisements. For the web based video services, the click rates of sport video highlights are far more than the whole video sequences [56]. Detecting highlights effectively is not only of interest to users/audiences (they are willing to view the highlights) but also of interest to commercial companies. They are interested in inserting their advertisement around the highlights to get more attention from consumers and expand the influences of their products/services. In many online video services websites, the sport video highlights are manually labeled which is very time-consuming and expensive. Thus automatic sport video highlight detection is very urgent [1]-[29]. It is a fundamental step for semantic based video browsing [1,7,8]. However, due to the semantic gaps between computer and human beings, highlights detection is not a trivial.