• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Inter-Concept Distances Based on Web-scaled Image Instances

Research Project

Project/Area Number 24650039
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Media informatics/Database
Research InstitutionOsaka University

Principal Investigator

BABAGUCHI Noboru  大阪大学, 工学(系)研究科(研究院), 教授 (30156541)

Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords概念間距離 / 画像例 / ウェブ画像 / Word Net / 画像特徴
Outline of Final Research Achievements

One of the major problems in keyword-based image retrieval is the intention gap between user's search intent and input keywords. To relax the intention gap, in this research, a couple of distance measures between concepts described by textual keywords were defined and experimentally analyzed, using a large scale of tagged-images. A system for automatically collecting tagged-images in the web space and storing the images into the database, and algorithms of measuring inter-concept distances were developed. These research results contribute to the advancement of object recognition and image retrieval.

Report

(4 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (5 results)

All 2014 2013 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results,  Acknowledgement Compliant: 1 results) Presentation (4 results)

  • [Journal Article] Inter-Concept Distance Measurement with Adaptively Weighted Multiple Visual Features2014

    • Author(s)
      K. Nakamura and N. Babaguchi
    • Journal Title

      Proceedings of 1st International Workshop on Feature and Similarity Learning for Computer Vision (FSLCV2014), in conjunction with 2014 Asian Conference on Computer Vision (ACCV2014)

      Volume: - Pages: 56-70

    • DOI

      10.1007/978-3-319-16634-6_5

    • ISBN
      9783319166339, 9783319166346
    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] 画像情報とテキスト情報の重み付き統合による概念間距離尺度の改善2014

    • Author(s)
      増広 のぞみ、中村 和晃、馬場口 登
    • Organizer
      パターン認識・メディア理解研究会(PRMU2013)
    • Place of Presentation
      大阪大学
    • Related Report
      2013 Research-status Report
  • [Presentation] 画像特徴の適応的選択による画像例ベース概念間距離の算出2013

    • Author(s)
      中村 和晃、大利 綾香、馬場口 登
    • Organizer
      パターン認識・メディア理解研究会(PRMU MI IU)
    • Place of Presentation
      愛知工業大学
    • Related Report
      2013 Research-status Report
  • [Presentation] 画像共有サイトを利用した実世界イベントの検出

    • Author(s)
      組橋 祐亮, 新田 直子, 馬場口 登
    • Organizer
      第5回データ工学と情報マネジメントに関するフォーラム(DEIM2013)
    • Place of Presentation
      ホテル華の湯(福島県)
    • Related Report
      2012 Research-status Report
  • [Presentation] 多数のFlickrタグを用いた画像例ベース概念間距離の解析

    • Author(s)
      大利 綾香・中村 和晃・馬場口 登
    • Organizer
      電子情報通信学会2013年総合大会(D-12-17)
    • Place of Presentation
      岐阜大学(岐阜県)
    • Related Report
      2012 Research-status Report

URL: 

Published: 2013-05-31   Modified: 2019-07-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi