Distributional clustering for content-based browsing of unstructured video
Giridharan Iyengar · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
The focus of this paper is to facilitate access into an important class of multimedia content: unscripted and casually shot home videos. Unlike scripted video (such as movies and commercials), video that has been shot for the simple purpose of recording an event of place has no structure to facilitate its access. Our approach to tackling the unstructured video problem is to use clustering techniques to create multiple groupings of the video. We describe two clustering algorithm in this paper, which assume fairly general probability density descriptions of video. In addition, we describe an application built upon these clustering algorithms that enables browsing and rescripting unstructured content.