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Image and Graphics : 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings. Part I / Yao Zhao, Nick Barnes, Baoquan Chen, Rüdiger Westermann, Xiangwei Kong, Chunyu Lin (eds.).

International Conference on Image and Graphics (10th : 2019 : Beijing, China); Zhao, Yao.; Barnes, Nick.; Chen, Baoquan.; Westermann, Rüdiger, 1966-; Kong, Xiangwei.; Lin, Chunyu.
2019
TA1634
Available Online
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Title
Image and Graphics : 10th International Conference, ICIG 2019, Beijing, China, August 23-25, 2019, Proceedings. Part I / Yao Zhao, Nick Barnes, Baoquan Chen, Rüdiger Westermann, Xiangwei Kong, Chunyu Lin (eds.).
Meeting Name
International Conference on Image and Graphics (10th : 2019 : Beijing, China)
ISBN
9783030341206 (electronic book)
3030341208 (electronic book)
9783030341190
Published
Cham : Springer, 2019.
Language
English
Description
1 online resource (xxv, 817 pages) : illustrations.
Item Number
10.1007/978-3-030-34
Call Number
TA1634
Dewey Decimal Classification
006.37
006.6
Summary
This three-volume set LNCS 11901, 11902, and 11903 constitutes the refereed conference proceedings of the 10thth International Conference on Image and Graphics, ICIG 2019, held in Beijing, China, in August 2019. The 183 full papers presented were selected from 384 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking.
Note
Includes author index.
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Access limited to authorized users.
Added Author
Zhao, Yao.
Barnes, Nick.
Chen, Baoquan.
Westermann, Rüdiger, 1966-
Kong, Xiangwei.
Lin, Chunyu.
Series
Lecture notes in computer science ; 11901.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Compression, transmission, retrieval
multi-view and stereoscopic processing
security, surveillance and remote sensing
virtual reality
feature learning for cross-domain problems
advanced signal processing methods in spectral imaging
computer vision for autonomous driving
learning toward visual recognition.

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