Summarization of video programs based on closed captions
Lalitha Agnihotri, Kavitha V. Devara, Thomas McGee, Nevenka Dimitrova · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Today the consumers are facing an ever-increasing amount of television programs. The problem, however, is that the content of video programs is opaque. The existing video watching options for consumers are either to watch the whole video, fast forward to try and find the relevant portion, or to use electronic program guides to get additional information. In this paper we will present a summarization system for processing incoming video, extracting and analyzing closed caption text, determining the boundaries of program segments as well as commercial breaks and extracting a program summary from a complete broadcast to enable video transparency. The system consists of: transcript extractor, program type classifier, cue extractor, knowledge database, temporal database, inference engine, and summerizer. The main topics that will be discussed are video summary, video categorization and retrieval tools.