An Internet News Video Browsing System

Abstract

With the amount of multimedia information growing and limitation of network bandwidth, it is necessary to construct a system which helps people to filter every kind of multimedia information in the network automatically. Due to the large amount and the linearly access property of video data, we always need a convenient and efficient tool for video browsing and indexing to determine if the video data is interesting. And we aim at the most important video domain, News program, to parse and segment. After reconstructing the News, we try to provide as many as possible browsing ways for users. In this paper, we bring up an idea to separate commercial shots from the News program and to detect anchor shots. We describe algorithms for constructing News stories with those classed shots. At the same time, we describe a whole framework of News video browsing system, including the flow path of system, design of database, and the transportation of video in the network.