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Video Object Segmentation: Tasks, Datasets, and Methods

by Ning Xu , Weiyao Lin , Xiankai Lu
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Current price ₹2,938.00
Original price ₹4,519.00
Original price ₹4,519.00
Original price ₹4,519.00
(-35%)
₹2,938.00
Current price ₹2,938.00

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Book cover type: Paperback
  • ISBN13: 9783031446580
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 196
  • Original Price: EUR 39.99
  • Language: English
  • Edition: N/A
  • Item Weight: 317 grams
  • BISAC Subject(s): Artificial Intelligence / Computer Vision & Pattern Recognition

This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area.

Ning Xu, Ph.D., is a Research Scientist at Adobe Research. He received his Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He was an organizer of the first and second LSVOS Challenge in ECCV 2018 and ICCV 2019. He is also an organizer for the ACM MM 2020 grand challenge "Large-scale Human-centric Video Analysis in Complex Events" and ACCV 2020 tutorial "Spatial -Temporal Parsing of Objects: From Segmentation to Actions". His research interests include image and video segmentation.
Weiyao Lin, Ph.D. is a Professor at Shanghai Jiao Tong University. He received his B.S. and M.E. from Shanghai Jiao Tong University and Ph.D. degree from the University of Washington, all in electrical engineering.
Xiankai Lu, Ph.D., is a Research Professor at Shandong University. Prior to this role, he was a research associate with Inception Institute of Artificial Intelligence at Abu Dhabi, UAE. Dr. Lu received a B. E. from the Department of Automation at Shan Dong University.
Yunchao Wei, Ph.D, is a Professor in the Center of Digital Media Information Processing at Beijing Jiaotong University. He received his Ph.D. from Beijing Jiaotong University. His current research interests include visual recognition with imperfect data, image/video segmentation and object detection, and multi-modal perception.

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