hidden Markov models

Summarization of user-generated sports video by using deep action recognition features

Automatically generating a summary of a sports video poses the challenge of detecting interesting moments, or highlights, of a game. Traditional sports video summarization methods leverage editing conventions of broadcast sports video that facilitate …

Human action recognition-based video summarization for RGB-D personal sports video

Automatic sports video summarization poses the challenge of acquiring semantics of the original video, and existing work leverages various knowledge in application domains, e.g., structure of games and editing conventions. In this paper, we propose a …

Human action recognition-based video summarization for RGB-D personal sports video

Automatic sports video summarization poses the challenge of acquiring semantics of the original video, and existing work leverages various knowledge in application domains, e.g., structure of games and editing conventions. In this paper, we propose a …

Discriminating intended human objects in consumer videos

In a consumer video, there are not only intended objects, which are intentionally captured by the camcorder user, but also unintended objects, which are accidentally framed-in. Since the intended objects are essential to present what the camcorder …