Informative sequential patch selection for image retrieval

Zhihao Shen, Sungmoon Jeong, Hosun Lee, Nak Young Chong

研究成果: Conference contribution

抄録

To quickly and efficiently analyze a large-scale environment by the camera with limited field-of-view, intelligent systems should sequentially select the optimal field-of-view to observe important and informative parts of area. Especially in the image retrieval tasks, small observations could be sequentially selected to improve the performance of image retrieval with less computational costs than whole observations at once and the enhanced retrieval performance could be used to select the next best-view again in a cyclic process. In this paper, we have investigated the effects of selected image patches, which might be either overlapped with a certain ratio or non-overlapped with previous observations, in this cyclic process. The adaptive patch selection algorithm is also described as follows: (1) A current observation is decided by its own information gain model which is designed by a similarity value between current observed information and training dataset. (2) After then, the system will update the information gain model by discarding the irrelevant training data with the current observation. During this process, we have shown that an informative patch, even though a part of selected patch is already observed at previous steps, can enhance the retrieval accuracy and it has a better performance than an independent observation method. Experimental results also have shown that the model selects the informative patches around the important contents to retrieve the target images such as the sky, building and so on.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Information and Automation, ICIA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ213-218
ページ数6
ISBN(電子版)9781538631546
DOI
出版ステータスPublished - 2017 10月 20
外部発表はい
イベント2017 IEEE International Conference on Information and Automation, ICIA 2017 - Macau, China
継続期間: 2017 7月 182017 7月 20

出版物シリーズ

名前2017 IEEE International Conference on Information and Automation, ICIA 2017

Conference

Conference2017 IEEE International Conference on Information and Automation, ICIA 2017
国/地域China
CityMacau
Period17/7/1817/7/20

ASJC Scopus subject areas

  • 情報システム
  • 制御およびシステム工学
  • 制御と最適化
  • モデリングとシミュレーション

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