Content-based semantic associative video model

被引：0

作者：

Cheng, Y ^{[1
]}

Xu, D ^{[1
]}

机构：

[1] No Jiaotong Univ, Dept Comp Sci & Technol, Beijing 100044, Peoples R China

来源：

2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II | 2002年

关键词：

semantic associative model; semantic network; video retrieval; content-based retrieval;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Existing methods for representing video are not capable of expressing relationships among the objects in shots. However, semantic networks are advantageous to expressing semantics of videos and improving the efficiency of video retrieval. This paper proposes a semantic associative model based on semantic networks, it represents the contents of a video shot by semantic objects and their relationships that appear in the shot. By representing. the semantic relationships among objects which appear in different shots, this model can express the semantic correlations among shots. Using the semantic relationships, we can retrieve videos easily.

引用

页码：727 / 730

页数：4

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