How People Watch Videos? Viewer Behavior Analysis for Video Archive Summarization

If viewers' behavior in watching videos can be observed, many clues useful for video summarization and other applications can be obtained. For example, which (parts of) videos draw attention of more viewers, which contents are most watched, what kind of video editing operation is the most successful in attracting viewers, and so on. This talk will present our attempt to jointly analyze large-scale TV video archive along with viewer rating information to mine such kind of information. Especially, it will be shown that summarization of one-year news topics is possible.