1.

Record Nr.

UNINA9910254843903321

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

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017

ISBN

981-10-7305-8

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XXIII, 729 p. 345 illus.)

Collana

Communications in Computer and Information Science, , 1865-0929 ; ; 773

Disciplina

006.37

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.