| 英文摘要 |
As the Internet developed rapidly, information containing text, pictures and videos has become extremely various and necessary. Because of the upswing of streaming technology, more and more people choose to watch video programs through Connected-TV. In recent years, online videos have become more like TV programs because of the manufacture of STB (Set-Top Box), and the idea of watching videos on TV through Internet has become another new trend. Therefore, how to efficiently sort out those videos which interest the consumers most when facing the immense information has been a big challenge. We propose searching and analysis technology for internet videos, which classify UGC (User-Generated Content) in well-known video platforms, to several complete and reachable program channels. There are two main features in our proposed method, which concludes 1) ”Gathering Relational Programs to Channel” and 2) ”Substituting Useless Programs Automatically”, to enhance insignificance of internet video platforms and search engine. In other words, the various the video contents are, the obvious the mutual effects between cross-platforms will reveals. In order to verify whether this technology fits in with users' needs, we realize it to be an on-line platform for trial. From June 2012, over 22,000 users have logged-in and use our platform, which shows that this platform is appealing to certain Internet users. In the future, we’ll continuously enhance the system with integration of social functionalities to increase the coherence with the users. |
