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Image and Graphics [[electronic resource] ] : 9th International Conference, ICIG 2017, Shanghai, China, September 13-15, 2017, Revised Selected Papers, Part II / / edited by Yao Zhao, Xiangwei Kong, David Taubman



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Titolo: Image and Graphics [[electronic resource] ] : 9th International Conference, ICIG 2017, Shanghai, China, September 13-15, 2017, Revised Selected Papers, Part II / / edited by Yao Zhao, Xiangwei Kong, David Taubman Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XVII, 629 p. 268 illus.)
Disciplina: 006.4
Soggetto topico: Optical data processing
Pattern recognition
Biometrics (Biology)
Computer graphics
Artificial intelligence
Application software
Image Processing and Computer Vision
Pattern Recognition
Biometrics
Computer Graphics
Artificial Intelligence
Information Systems Applications (incl. Internet)
Persona (resp. second.): ZhaoYao
KongXiangwei
TaubmanDavid
Nota di contenuto: Computer Vision and Pattern Recognition -- Compression, Transmission, Retrieval -- 5G Multimedia Communications -- Artificial intelligence -- Biological and Medical Image Processing -- Color and Multispectral Processing -- Computational Imaging -- Computer Graphics and Visualization -- Hyperspectral Image Processing -- Multi-View and Stereoscopic Processing -- Representation, Analysis and Applications of Large-Scale 3D Multimedia Data -- Security -- Surveillance and remote sensing.
Sommario/riassunto: This three-volume set LNCS 10666, 10667, and 10668 constitutes the refereed conference proceedings of the 9thInternational Conference on Image and Graphics, ICIG 2017, held in Shanghai, China, in September 2017. The 172 full papers were selected from 370 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking.
Titolo autorizzato: Image and Graphics  Visualizza cluster
ISBN: 3-319-71589-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465755203316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10667