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Computer Vision [electronic resource] : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng.

Medverkande: Materialtyp: TextSerie: Communications in Computer and Information Science ; 771Utgivningsuppgift: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Utgåva: 1st ed. 2017Beskrivning: XXIV, 771 p. 373 illus. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9789811072994
Ämnen: Fler format: Printed edition:: Ingen titel; Printed edition:: Ingen titelDDK-klassifikation:
  • 006.37 23
Library of Congress (LC) klassifikationskod:
  • TA1634
Onlineresurser:
Innehåll:
Biological vision inspired visual method -- Biomedical image analysis -- Computer vision applications -- Deep neural network -- Face and posture analysis -- Image and video retrieval.-Image color and texture -- Image composition -- Image quality assessment and analysis -- Image restoration -- Image segmentation and classification -- Image-based modeling -- Object detection and classification -- Object identification -- Photography and video -- Robot vision -- Shape representation and matching -- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection.
I: Springer Nature eBookSammanfattning: This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the  CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.
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Biological vision inspired visual method -- Biomedical image analysis -- Computer vision applications -- Deep neural network -- Face and posture analysis -- Image and video retrieval.-Image color and texture -- Image composition -- Image quality assessment and analysis -- Image restoration -- Image segmentation and classification -- Image-based modeling -- Object detection and classification -- Object identification -- Photography and video -- Robot vision -- Shape representation and matching -- Statistical methods and learning.-Video analysis and event recognition.-Visual salient detection.

This three volume set, CCIS 771, 772, 773, constitutes the refereed proceedings of the  CCF Chinese Conference on Computer Vision, CCCV 2017, held in Tianjin, China, in October 2017. The total of 174 revised full papers presented in three volumes were carefully reviewed and selected from 465 submissions. The papers are organized in the following topical sections: biological vision inspired visual method; biomedical image analysis; computer vision applications; deep neural network; face and posture analysis; image and video retrieval; image color and texture; image composition; image quality assessment and analysis; image restoration; image segmentation and classification; image-based modeling; object detection and classification; object identification; photography and video; robot vision; shape representation and matching; statistical methods and learning; video analysis and event recognition; visual salient detection.

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