Research on hand language video retrieval

  • Authors:
  • Shilin Zhang;Mei Gu

  • Affiliations:
  • Faculty of Computer Science, Network and Information Management Center, North China University of Technology, Beijing, China;Faculty of Computer Science, Network and Information Management Center, North China University of Technology, Beijing, China

  • Venue:
  • ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to provide for Chinese disabled person an efficient content-based hand language video retrieval system, this paper presents a system called DCMR. Content-based video retrieval is a challenging field, and most research focus on the low level features such as color histogram, texture and etc. In this paper, we solve the searching problem by high level features used by hand language recognition. Experiment results on a large of hand language videos show that our searching system performs much better than existing methods on hand language video searching systems. Compared with the traditional methods, our system reduces the average searching time by half and the searching precision has doubled.