Videoabstract: a hybrid approach to generate semantically meaningful video summaries

Video summarization is a key component in providing Internet users a way to quickly browse a video clip in different levels of detail, without the need to view the entire video clip. We present a hybrid approach to video summary generation, which automatically process the video, creating a multimedia video summary, while providing easy-to-use interfaces for verification, correction, and augmentation of the automatically generated story segments and extracted multimedia content. Algorithms are developed to solve the sub-problems of story segmentation, story boundary refinement, and video summary generation. The use of automatic processing in conjunction with input from the user allows a user to produce meaningful video summaries efficiently.