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Image and Video Technology [[electronic resource] ] : 8th Pacific-Rim Symposium, PSIVT 2017, Wuhan, China, November 20-24, 2017, Revised Selected Papers / / edited by Manoranjan Paul, Carlos Hitoshi, Qingming Huang



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Titolo: Image and Video Technology [[electronic resource] ] : 8th Pacific-Rim Symposium, PSIVT 2017, Wuhan, China, November 20-24, 2017, Revised Selected Papers / / edited by Manoranjan Paul, Carlos Hitoshi, Qingming Huang Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XVI, 502 p. 246 illus.)
Disciplina: 621.367
Soggetto topico: Multimedia information systems
User interfaces (Computer systems)
Optical data processing
Artificial intelligence
Computer system failures
Multimedia Information Systems
User Interfaces and Human Computer Interaction
Image Processing and Computer Vision
Artificial Intelligence
System Performance and Evaluation
Persona (resp. second.): PaulManoranjan
HitoshiCarlos
HuangQingming
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Image/Video Processing and Analysis -- Pattern Recognition and Applications -- Computer Vision and Applications.
Sommario/riassunto: This book constitutes the thoroughly refereed post-conference proceedings of the 8th Pacific Rim Symposium on Image and Video Technology, PSIVT 2017, held in Wuhan, China, in November 2017. The total of 39 revised papers was carefully reviewed and selected from 91 submissions. The Pacific-Rim Symposium on Image and Video Technology (PSIVT) is a high-quality series of symposia that aim at providing a forum for researchers and practitioners who are being involved, or are contributing to theoretical advances or practical implementations in image and video technology.
Titolo autorizzato: Image and Video Technology  Visualizza cluster
ISBN: 3-319-75786-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465511903316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10749