Informative sequential patch selection for image retrieval

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

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


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.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Information and Automation, ICIA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538631546
Publication statusPublished - 2017 Oct 20
Externally publishedYes
Event2017 IEEE International Conference on Information and Automation, ICIA 2017 - Macau, China
Duration: 2017 Jul 182017 Jul 20

Publication series

Name2017 IEEE International Conference on Information and Automation, ICIA 2017


Conference2017 IEEE International Conference on Information and Automation, ICIA 2017


  • Image retrieval
  • Next bestview
  • Sequential Selection
  • Small field-of-view
  • Visual attention

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Control and Optimization
  • Modelling and Simulation


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