Presentation 2021-03-05
Retrieving Interesting Planetary Images based on Captions
Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number of acquired images continues to grow exponentially with each ongoing mission, it becomes increasingly difficult to return all the data to Earth because of limited bandwidth between Earth and other planets and planetary bodies through Deep Space Network. In this paper, we aim to solve this problem by developing an onboard image analysis algorithm. We propose an image-text matching algorithm to enhance the onboard analysis capabilities by detecting objects in the observed image and sending only much smaller-sized metadata to Earth that describes the image. The proposed algorithm is also helpful to retrieve images of interest~(images with desired geologic and/or non-geologic features), from a large database based on query text. We use the Mars surface images captured by the navigation camera of NASA’s Mars Science Laboratory (MSL) Curiosity rover for experimental purposes and demonstrate that our method can accurately detect objects on the Mars surface images. Our experimental results also verify that our method can successfully retrieve images of interest, based on textual queries with superior performance (as evidenced by higher R@K value) compared to the state-of-the-art approaches.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Image retrievalObject detectionMars surface images
Paper # PRMU2020-95
Date of Issue 2021-02-25 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Computer Vision and Pattern Recognition for specific environment
Chair Yoichi Sato(Univ. of Tokyo)
Vice Chair Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.)
Secretary Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.)
Assistant Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Retrieving Interesting Planetary Images based on Captions
Sub Title (in English)
Keyword(1) Image retrievalObject detectionMars surface images
1st Author's Name Hiya Roy
1st Author's Affiliation University of Tokyo(UTokyo)
2nd Author's Name Toshihiko Yamasaki
2nd Author's Affiliation University of Tokyo(UTokyo)
3rd Author's Name Tatsuaki Hashimoto
3rd Author's Affiliation University of Tokyo(UTokyo)
Date 2021-03-05
Paper # PRMU2020-95
Volume (vol) vol.120
Number (no) PRMU-409
Page pp.pp.151-156(PRMU),
#Pages 6
Date of Issue 2021-02-25 (PRMU)