Computer Vision
Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part II
Seiten
2017
|
1st ed. 2017
Springer Verlag, Singapore
978-981-10-7301-4 (ISBN)
Springer Verlag, Singapore
978-981-10-7301-4 (ISBN)
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. biomedical image analysis; image and video retrieval; image color and texture; image quality assessment and analysis; image segmentation and classification;
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
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
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.
Erscheinungsdatum | 18.01.2018 |
---|---|
Reihe/Serie | Communications in Computer and Information Science ; 772 |
Zusatzinfo | 274 Illustrations, black and white; XXIII, 621 p. 274 illus. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | bio-inspired computer vision methods • computational photography • computer vision • deep neural networks • event detection • face and pose estimation • image colour and texture • image quality evaluation and analysis • image reconstruction • Image Restoration • image segmentation and classification • modelling on images • Object detection • Object recognition • pattern recognition • Robot vision • saliency detection • shape representation and matching • statistical learning methods • video analysis |
ISBN-10 | 981-10-7301-5 / 9811073015 |
ISBN-13 | 978-981-10-7301-4 / 9789811073014 |
Zustand | Neuware |
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