Advances in Visual Computing [electronic resource] : 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, Proceedings, Part I / edited by George Bebis, Bo Li, Angela Yao, Yang Liu, Ye Duan, Manfred Lau, Rajiv Khadka, Ana Crisan, Remco Chang.
Contributor(s): Bebis, George [editor.] | Li, Bo [editor.] | Yao, Angela [editor.] | Liu, Yang [editor.] | Duan, Ye [editor.] | Lau, Manfred [editor.] | Khadka, Rajiv [editor.] | Crisan, Ana [editor.] | Chang, Remco [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 13598Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XXX, 471 p. 176 illus., 164 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031207136.Subject(s): Image processing -- Digital techniques | Computer vision | Artificial intelligence | Computer engineering | Computer networks | Social sciences -- Data processing | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence | Computer Engineering and Networks | Computer Application in Social and Behavioral Sciences | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006 Online resources: Click here to access onlineDeep Learning I -- Visualization -- Object Detection and Recognition -- Deep Learning II -- Video Analysis and Event Recognition -- Computer Graphics -- ST: Biomedical Imaging Techniques for Cancer Detection, Diagnosis and Management.
This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: Part I: deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management. Part II: ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.
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