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



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Titolo: Computer Vision [[electronic resource] ] : Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11–14, 2017, Proceedings, Part III / / edited by Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XXIII, 729 p. 345 illus.)
Disciplina: 006.37
Soggetto topico: Optical data processing
Artificial intelligence
Computer simulation
Data mining
Information storage and retrieval
Image Processing and Computer Vision
Artificial Intelligence
Simulation and Modeling
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Persona (resp. second.): YangJinfeng
HuQinghua
ChengMing-Ming
WangLiang
LiuQingshan
BaiXiang
MengDeyu
Nota di contenuto: 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.
Sommario/riassunto:  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.
Titolo autorizzato: Computer Vision  Visualizza cluster
ISBN: 981-10-7305-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254843903321
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Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 773