Computer Vision 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.

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 submiss...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yang, Jinfeng (Editor), Hu, Qinghua (Editor), Cheng, Ming-Ming (Editor), Wang, Liang (Editor), Liu, Qingshan (Editor), Bai, Xiang (Editor), Meng, Deyu (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Communications in Computer and Information Science, 771
Springer eBook Collection.
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Online Access:Click to view e-book
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Summary: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.
Physical Description:XXIV, 771 p. 373 illus. online resource.
ISBN:9789811072994
ISSN:1865-0929 ;
DOI:10.1007/978-981-10-7299-4