A Survey on Semantic-based Video Retrieval Techniques
语义视频检索综述

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.