Advances in visual computing : 17th international symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, proceedings. Part I / George Bebis, Bo Li, Angela Yao, Yang Liu, Ye Duan, Manfred Lau, Rajiv Khadka, Ana Crisan, Remco Chang (eds.).
International Symposium on Visual Computing (17th : 2022 : San Diego, Calif.).; 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.
2022
Q337.5
Available Online

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Title
Advances in visual computing : 17th international symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, proceedings. Part I / George Bebis, Bo Li, Angela Yao, Yang Liu, Ye Duan, Manfred Lau, Rajiv Khadka, Ana Crisan, Remco Chang (eds.).
Meeting Name
International Symposium on Visual Computing (17th : 2022 : San Diego, Calif.).
ISBN
9783031207136 (electronic bk.)
3031207130 (electronic bk.)
9783031207129
3031207122
DOI
https://doi.org/10.1007/978-3-031-20713-6
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xxx, 471 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-20713-6 doi
Call Number
Q337.5
Dewey Decimal Classification
006.4
Summary
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.
Note
International conference proceedings.
Includes author index.
Bibliography, etc. Note
References -- Deep Learning Based Shrimp Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Acquisition -- 3.2 Preprocessing -- 3.3 Classification -- 4 Experimental Results -- 5 Conclusions -- References -- Gait Emotion Recognition Using a Bi-modal Deep Neural Network -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Attacking Frequency Information with Enhanced Adversarial Networks to Generate Adversarial Samples -- 1 Introduction -- 2 Related Work -- 2.1 Adversarial Samples
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 28, 2022).
Added Author
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.
Series
Lecture notes in computer science ; 13598. 1611-3349
Available in Other Form
Print version: 9783031207129
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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.

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