Face retrieval framework relying on user's visual memory

Yugo Sato, Tsukasa Fukusato, Shigeo Morishima

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

This paper presents an interactive face retrieval framework for clarifying an image representation envisioned by a user. Our system is designed for a situation in which the user wishes to find a person but has only visual memory of the person. We address a critical challenge of image retrieval across the user's inputs. Instead of target-specific information, the user can select several images (or a single image) that are similar to an impression of the target person the user wishes to search for. Based on the user's selection, our proposed system automatically updates a deep convolutional neural network. By interactively repeating these process (human-in-the-loop optimization), the system can reduce the gap between human-based similarities and computer-based similarities and estimate the target image representation. We ran user studies with 10 subjects on a public database and confirmed that the proposed framework is effective for clarifying the image representation envisioned by the user easily and quickly.

元の言語English
ホスト出版物のタイトルICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval
出版者Association for Computing Machinery, Inc
ページ274-282
ページ数9
ISBN(印刷物)9781450350464
DOI
出版物ステータスPublished - 2018 6 5
イベント8th ACM International Conference on Multimedia Retrieval, ICMR 2018 - Yokohama, Japan
継続期間: 2018 6 112018 6 14

Other

Other8th ACM International Conference on Multimedia Retrieval, ICMR 2018
Japan
Yokohama
期間18/6/1118/6/14

ASJC Scopus subject areas

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

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  • これを引用

    Sato, Y., Fukusato, T., & Morishima, S. (2018). Face retrieval framework relying on user's visual memory. : ICMR 2018 - Proceedings of the 2018 ACM International Conference on Multimedia Retrieval (pp. 274-282). Association for Computing Machinery, Inc. https://doi.org/10.1145/3206025.3206038