This demonstration presents an efficient home video browsing system from a novel viewpoint – capture intention. We extend our previous work to build up a comprehensive scheme to mine the capture intention, and based on this scheme, propose a novel home video browsing system. Such an intention based system assists both camcorder users and viewers to experience their personal home videos by providing two better manners of browsing – by intention thumbnails and by intention curves. The user study indicates that our system offers users a more efficient way to search a given clip in a video than attention-based scheme. Categories and Subject Descriptors H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems—video; I.2.10 [Artificial Intelligence]: Vision and Scene Understanding—video analysis General Terms Algorithms, Human Factors, Experimentation. Keywords Video content analysis, capture intention, attention detection.