TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-20713-6
DO  - doi
AB  - 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.
T1  - Advances in visual computing :17th international symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, proceedings.
AU  - Bebis, George,
AU  - Li, Bo,
AU  - Yao, Angela,
AU  - Liu, Yang,
AU  - Duan, Ye,
AU  - Lau, Manfred,
AU  - Khadka, Rajiv,
AU  - Crisan, Ana,
AU  - Chang, Remco,
VL  - 13598
CN  - Q337.5
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1451991
KW  - Computer graphics
KW  - Computer vision
SN  - 9783031207136
SN  - 3031207130
TI  - Advances in visual computing :17th international symposium, ISVC 2022, San Diego, CA, USA, October 3-5, 2022, proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20713-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20713-6
ER  -