To mine capture intention of camcorder users

In this paper, we present a learning-based approach to mining the capture intention of camcorder users, aiming at providing a novel viewpoint in terms of home video content analysis. In contrast to existing approaches to video analysis designed from the viewers' standpoint, this approach models the capture intention from a camcorder user's point of view, by investigating a set of effective intention oriented features. With this approach, not only the capture intention is effectively mined, but also a set of intention probability curves are produced for efficient browsing of home video content. The experimental evaluations indicate that the intention based approach is an effective complement to existing home video content analysis schemes.