Research of Semantic-based News Video Retrieval
Ying Shi · Jisuanji gongcheng · 2004
In this paper, a research about new theories of integrated semantic-based video retrieval is presented by exploring merits and defects of note -based or content-based video retrieval and apprehend characteristics about video comparability in cognitive science. A semantic-based video retrieval original system for video news, a main kind of video is designed and realized by applying an idea of multi-layer processing and integrating content features and rich semantic of news video's media components. The system is experimentally proved automatic high, semantic impersonal and retrieval flexible.