Advances in Visual Computing [electronic resource] : 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 3–5, 2022, Proceedings, Part II /

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Material type: Text

TextSeries: Lecture Notes in Computer Science ; 13599Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XXX, 445 p. 195 illus., 176 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031207167

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006 23

LOC classification:

TA1501-1820
TA1634

Online resources:

Click here to access online

Contents:

ST: Neuro-inspired Artificial Intelligence -- Applications -- Segmentation and Tracking -- Virtual Reality -- Poster.

In: Springer Nature eBookSummary: 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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ST: Neuro-inspired Artificial Intelligence -- Applications -- Segmentation and Tracking -- Virtual Reality -- Poster.

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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