The CPR model for summarizing video

TitleThe CPR model for summarizing video
Publication TypeConference Papers
Year of Publication2003
AuthorsFayzullin M, V.S. Subrahmanian, Picariello A, Sapino ML
Conference NameProceedings of the 1st ACM international workshop on Multimedia databases
Date Published2003///
Conference LocationNew York, NY, USA
ISBN Number1-58113-726-5
Keywordsmultimedia, Summarization, video

Most past work on video summarization has been based on selecting key frames from videos. We propose a model of video summarization based on three important parameters: Priority (of frames), Continuity (of the summary), and non-Repetition (of the summary). In short, a summary must include high priority frames, must be continuous and non-repetitive. An optimal summary is one that maximizes an objective function based on these three parameters. We develop formal definitions of all these concepts and provide algorithms to find optimal summaries. We briefly report on the performance of these algorithms.