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Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part I: Communications in Computer and Information Science, cartea 771

Editat de Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
en Limba Engleză Paperback – 30 noi 2017
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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Specificații

ISBN-13: 9789811072987
ISBN-10: 9811072981
Pagini: 734
Ilustrații: XXIV, 771 p. 373 illus.
Dimensiuni: 155 x 235 x 50 mm
Greutate: 1.09 kg
Ediția:1st ed. 2017
Editura: Springer Nature Singapore
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Singapore, Singapore

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras