SpringerBriefs in Electrical and Computer Engineering

Basic Prediction Techniques in Modern Video Coding Standards

Authors: Kim, Byung-Gyu, Goswami, Kalyan

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  • Presents essential, streamlined information on video compression for those working or researching in video codec
  • Gleans key information from detailed specifications to provide readers with the latest video coding standards and the basic theory behind them
  • Provides readers with a solid background in the latest video encoding techniques, in particular in prediction techniques
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eBook 46,00 €
price for Korea, Republic of (South Korea) (gross)
  • ISBN 978-3-319-39241-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
  • Institutional customers should get in touch with their account manager
Softcover 54,99 €
price for Korea, Republic of (South Korea) (gross)
About this book

This book discusses in detail the basic algorithms of video compression that are widely used in modern video codec. The authors dissect complicated specifications and present material in a way that gets readers quickly up to speed by describing video compression algorithms succinctly, without going to the mathematical details and technical specifications. For accelerated learning, hybrid codec structure, inter- and intra- prediction techniques in MPEG-4, H.264/AVC, and HEVC are discussed together. In addition, the latest research in the fast encoder design for the HEVC and H.264/AVC is also included.

About the authors

Professor Byung-Gyu Kim received his BS degree from Pusan National University, Korea, in 1996 and an MS degree from Korea Advanced Institute of Science and Technology(KAIST) in 1998. In 2004, he received a Ph.D. degree in the Department of Electrical Engineering and Computer Science from Korea Advanced Institute of Science and Technology (KAIST). In March 2004, he joined in the real-time multimedia research team at the Electronics and Telecommunications Research Institute (ETRI), Korea where he was a senior researcher. In February 2009, he joined the Department of Computer Engineering at SunMoon University, Korea where he is currently a professor. He is also serving as Associate Editor of Circuits, Systems and Signal Processing Journal, Journal of Real-Time Image Processing, Journal of Supercomputing, and other international journals. He has published over 115 international journal and conference papers, patents in his field. His research interests include image and video object segmentation for the content-based image coding, video coding techniques, wireless multimedia sensor network, embedded multimedia communication, and intelligent information system for image signal processing.

Dr. Kalyan Goswami received his B.Tech degree from Kalyani University, India in 2004. From 2004 to 2007 he worked at Cognizant Technology Solutions India Pvt. Ltd., as a programmer analyst. He received a MS degree from Indian Institute of Technology (IIT), Kharagpur, India in 2011 and a Ph.D degree from the Department of Computer Engineering from Sunmoon University, South Korea in 2015. He has published 19 international journal and conference papers in his field. His research interests include video processing, video coding techniques, High Efficiency Video Coding (HEVC), object detection and tracking for video sequences. 

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook 46,00 €
price for Korea, Republic of (South Korea) (gross)
  • ISBN 978-3-319-39241-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
  • Institutional customers should get in touch with their account manager
Softcover 54,99 €
price for Korea, Republic of (South Korea) (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Basic Prediction Techniques in Modern Video Coding Standards
Authors
Series Title
SpringerBriefs in Electrical and Computer Engineering
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-39241-7
DOI
10.1007/978-3-319-39241-7
Softcover ISBN
978-3-319-39239-4
Series ISSN
2191-8112
Edition Number
1
Number of Pages
VIII, 84
Number of Illustrations
17 b/w illustrations, 43 illustrations in colour
Topics