Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings,...

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Jinfeng Yang Qinghua Hu

Computer Vision

Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings,...

Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng , Liang Wang

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English

Springer Verlag, Singapore
09 December 2017

3D graphics & modelling; Data mining; Information retrieval; Computer vision; Image processing

Series: Communications in Computer and Information Science

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.

Edited by: Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu
Imprint: Springer Verlag, Singapore
Country of Publication: Singapore
Edition: 1st ed. 2017
Volume: 773
Dimensions: Height: 235mm, Width: 155mm,
Weight: 1.139kg
ISBN: 9789811073045
ISBN 10: 981107304X
Series: Communications in Computer and Information Science
Pages: 729
Publication Date: 09 December 2017
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.