%0 Journal Article
%T A Survey on Semantic-based Video Retrieval Techniques<br>语义视频检索综述
%A WEI Wei
%A YOU Jing
%A LIU Feng-Yu
%A XU Man-Wu
%A <br>魏维
%A 游静
%A 刘凤玉
%A 许满武
%J 计算机科学
%D 2006
%I 
%X Contend-based video retrieval(CBVR)is an active research domain in muhimedia application. Most retrieval techniques on CBVR are low-lever feature based. However,these features are abstract and quite different from the se- mantic concepts in human thought. Video retrieval at semantic level is one of the most challenging research issues in CBVR at present. The gap between low-level features and high semantics is difficult to narrow. To go beyond low-level similarity and access video data content by semantics,we must bridge the gap between the low-level features and high- level semantics. After providing a summary about no-semantic video retrieval in the literature, this paper analyzes the reason leading to semantic gap and presents a review on the current approach to bridging the semantic gap. In addition, the future promising directions are also discussed.
%K Semantic-based video retrieval
%K Semantic gap
%K Low lever features
%K Semantic concept
%K Content-based video rctrieval<br>基于语义的视频检索
%K 语义鸿沟
%K 低层特征
%K 语义概念
%K 基于内容的视频检索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=FAFA350B37D06D01&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=CA4FD0336C81A37A&eid=DF92D298D3FF1E6E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=4&reference_num=80