›› 2012, Vol. 25 ›› Issue (8): 150-.

• Articles • Previous Articles     Next Articles

A Survey on Semantic-based Video Retrieval Key Techniques

 KONG Ying-Hui, LIU Shu-Rong, ZHANG Shao-Ming, FAN Qi-Yue   

  1. (School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)
  • Online:2012-08-15 Published:2012-08-28

Abstract:

With the emergence of much video,video content retrieval becomes an active research direction in the multimedia applications.Most of the existing video retrieval technologies are based on low-level features.These features are quite different from the semantic concepts.It seriously influences the practicality of the video content retrieval system.The gap between low-level features and high semantics is difficult to narrow,so how to extract semantic concepts in the human thought from video is becoming a most challenging research of the video content retrieval.This paper introduces the background of semantic video retrieval and the latest and dynamic research at home and abroad,analyzes the advantages and disadvantages of the existing methods and summarizes the existing key technologies.

Key words: semantic gas;semantic video retrieval;low-level features;high-level semantic concept

CLC Number: 

  • TP391.3