Automatic video summarization by using color and utterance information

In recent years, digital video is rapidly becoming important for education, entertainment, and a host of multimedia applications. With the increasing size of video collections, technology is needed to effectively browse a video in a short time without losing any important contents. We propose a system which automatically summarizes video by analyzing the video color information and utterance information. To do so, we use the color histogram of a shot as color information. We discover important intervals having several color change patterns by using the probability model. Furthermore, we extract utterance information by using closed caption. We find the dialogue structure by analyzing the connectivity between utterances. Finally, we integrate them so as to skim meaningful portions in a video.