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Computer Vision - ECCV 2018 Workshops : Munich, Germany, September 8-14, 2018, Proceedings, Part II / edited by Laura Leal-Taixé, Stefan Roth.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11130
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11130
- Language:
- English
- Subjects (All):
- Computer vision.
- Artificial intelligence.
- Computer graphics.
- Data protection.
- Computer networks.
- Computer Vision.
- Artificial Intelligence.
- Computer Graphics.
- Data and Information Security.
- Computer Communication Networks.
- Local Subjects:
- Computer Vision.
- Artificial Intelligence.
- Computer Graphics.
- Data and Information Security.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XXV, 719 pages) : 344 illustrations, 252 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. 43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
- Contents:
- Computer Vision for UAVs
- Transferring and Adapting Source Knowledge in Computer Vision and 2nd VisDA Challenge
- PoseTrack Challenge: Articulated People Tracking in the Wild
- Objectionable Content and Misinformation
- Human Behavior Understanding
- First Person in Context Workshop and Challenge
- Computer Vision for Art Analysis. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-11012-3
- 9783030110123
- Access Restriction:
- Restricted for use by site license.
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