Video Retrieval System Based on Relevance Feedback by Automatically Generated Pictures

• FUJISAKI Yasuhiko

  Tokyo Institute of Technology

• MIYATA Takamichi

  Tokyo Institute of Technology

• INAZUMI Yasuhiro

  Kanagawa University

• KOBAYASHI Aki

  Tokyo Institute of Technology

• YAMAOKA Katsunori

  Tokyo Institute of Technology

• SAKAI Yoshinori

  Tokyo Institute of Technology

Bibliographic Information

Other Title

• 適合性フィードバック方式を用いた自動生成画像による動画像検索システムの提案

Abstract

Recently, an effective retrieval system for video data based on its content is required. In such system, queries are given by natural video data or drawing sketches. However, preparing natural video data and drawing sketches require high operating costs for users. Therefore, we proposed novel method that uses "Relevance Feedback(RF)" for creating query. RF is an approach that is used in general information retrieval. RF allows us to give a query to the system by simple operation. Then, we performed an experiment to retrieve video data by using the system that uses the method. The experimental results lead us to conclude that the system is effective at reducing a user's operating costs. Furthermore, we show the future direction for research.

Journal

• Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan

  Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan 33 (0), 195-196, 2005

  The Institute of Image Electronics Engineers of Japan

Keywords

• Content Based Retrieval
• Relevance Feedback
• Query Creating
• User Interface

Details

• CRID: 1390001205609270272
• NII Article ID: 130004569884
• DOI: 10.11371/aiieej.33.0.195.0
• ISSN: 24364398
• ISSN: 24364371
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed