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Image Acquisition by Image Retrieval with Color Aesthetics

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14124))

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Abstract

The objective of this work is to obtained aesthetically pleasing images related based on the location information. To achieve this, we develop a system that can acquire photos using the geographic information and cloud data by image retrieval. This system comprises an insertion module and a search module. The insertion module recognizes the weather conditions, reads the image information and stores the image data in the cloud database. On the other hand, the search module reads the location information of the onboard sensors, searches for images with the similar location from the cloud database using the proposed optimal image selection algorithm. The search module then provides multiple photos with similar geographic information, selects the best image, and provides feedback suggestions. In addition to the software development, we also implement the proposed system on a hardware device that can directly retrieve the outdoor images for display and storage. The experiments with real scenes have demonstrated the feasibility of the proposed system.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Chung Cheng University, Chiayi, 621, Taiwan

    Huei-Fang Lin

  2. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, 106, Taiwan

    Huei-Yung Lin

Authors
  1. Huei-Fang Lin
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  2. Huei-Yung Lin
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Corresponding author

Correspondence to Huei-Yung Lin .

Editor information

Editors and Affiliations

  1. DGA TA, Toulouse, France

    Jaques Blanc-Talon

  2. University of Auckland, Auckland, New Zealand

    Patrice Delmas

  3. Ghent University, Ghent, Belgium

    Wilfried Philips

  4. University of Antwerp, Wilrijk, Belgium

    Paul Scheunders

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Lin, HF., Lin, HY. (2023). Image Acquisition by Image Retrieval with Color Aesthetics. In: Blanc-Talon, J., Delmas, P., Philips, W., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2023. Lecture Notes in Computer Science, vol 14124. Springer, Cham. https://doi.org/10.1007/978-3-031-45382-3_21

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  • DOI: https://doi.org/10.1007/978-3-031-45382-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-45381-6

  • Online ISBN: 978-3-031-45382-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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