Evaluation of camera work analysis supporting shot retrieval system

Thitiporn Lertrusdachakul, Terumasa Aoki, Hiroshi Yasuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we evaluate the improvement in efficiency of video retrieval system due to the camera work information. The camera information is analyzed based on the pattern analysis of motion trajectories of image features. The algorithm generates the metadata of camera motion (i.e., panning, tilting, zooming, static, and the combination of panning and tilting) and its speed for the video sequences. The speed of camera motion is translated into the degree of human perception level (i.e., fast, slow, and medium). By applying the proposed analysis, we implement the camera work based video retrieval system. With this system, the users are able to search for a target shot by input the queries of camera motion and its speed. We compare the time used to search for the target shot of the normal mode and fast mode with the addition of camera information. The experimental results show that the camera work based shot retrieval system is significantly faster than the normal video search.

Original languageEnglish
Title of host publicationProceedings of the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006
Pages166-171
Number of pages6
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006 - Honolulu, HI, United States
Duration: 2006 Aug 142006 Aug 16

Other

Other8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006
CountryUnited States
CityHonolulu, HI
Period06/8/1406/8/16

Keywords

  • Camera motion
  • Feature detection
  • Feature tracking
  • Speed analysis
  • Video retrieval

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Computer Science Applications

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