计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (18): 168-170.

• 数据库与信息处理 • 上一篇    下一篇

基于高层语义的视频检索研究

张治国,刘怀亮,马志辉,张 毅,赵 娜   

  1. 西安电子科技大学 经济管理学院,西安 710071
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-21 发布日期:2007-06-21
  • 通讯作者: 张治国

Research on video retrieval using high-level semantic

ZHANG Zhi-guo,LIU Huai-liang,MA Zhi-hui,ZHANG Yi,ZHAO Na   

  1. School of Economic & Management,Xidian University,Xi’an 710071,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-21 Published:2007-06-21
  • Contact: ZHANG Zhi-guo

摘要: 视频语义检索的研究是目前研究的热点之一。现有的视频检索系统技术多是基于底层特征的、非语义层次的检索。与人类思维中所能理解的高层语义概念相去甚远,这严重影响视频检索的实际效果。如何跨越底层特征和高层语义的鸿沟,用高层语义概念进行视频检索是当前研究的重点。通过对视频内容的语义理解、语义分析、语义提取的简要概述,试图构造一种视频语义检索模型。

Abstract: Video semantic retrieval is one of the most popular search issue in video retrieval today.Most video retrieval techniques are low-level feature based and no-semantic.These feature are abstract and quite different from the semantic concepts in human thought.To go beyond low-level similarity and access video data content by semantics,how can we bridge the gap between the low-level features and high-level semantics.How can we develop the model of video semantic retrieval.In this paper,semantic video understand,semantic video analysis,semantic video extract are discussed,in order to design a model of semantic video retrieval.