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Visual Signal Quality Assessment

. Ed(S): Deng, Chenwei; Ma, Lin; Lin, Weisi; Ngan, King Ngi

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Description for Visual Signal Quality Assessment Hardback. Visual Signal Quality Assessment Editor(s): Deng, Chenwei; Ma, Lin; Lin, Weisi; Ngan, King Ngi. Num Pages: 314 pages, 21 black & white illustrations, 52 colour illustrations, 19 black & white tables, biograp. BIC Classification: TJFC; TTBM; UML. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 665.

This book provides comprehensive coverage of the latest trends/advances in subjective and objective quality evaluation for traditional visual signals, such as 2D images and video, as well as the most recent challenges for the field of multimedia quality assessment and processing, such as mobile video and social media. Readers will learn how to ensure the highest storage/delivery/ transmission quality of visual content (including image, video, graphics, animation, etc.) from the server to the consumer, under resource constraints, such as computation, bandwidth, storage space, battery life, etc.

Product Details

Format

Hardback

Publication date

2014

Publisher

Springer International Publishing AG Switzerland

Number of pages

314

Condition

New

Number of Pages

302

Place of Publication

Cham, Switzerland

ISBN

9783319103679

SKU

V9783319103679

Shipping Time

Usually ships in 15 to 20 working days

Ref

99-15

About . Ed(S): Deng, Chenwei; Ma, Lin; Lin, Weisi; Ngan, King Ngi

Chenwei Deng received the Ph.D. degree in signal and information processing from Beijing Institute of Technology, Beijing, China, in 2009. He is currently an Associate Professor at the School of Information and Electronics, Beijing Institute of Technology. Prior to this, he was a postdoctoral Research Fellow in the School of Computer Engineering, Nanyang Technological University, Singapore. He has authored or ... Read moreco-authored over 50 technical papers in refereed international journals and conferences. He was awarded the titles of Beijing Excellent Talent and Excellent Young Scholar of Beijing Institute of Technology in 2013. His current research interests include multimedia coding, quality assessment, perceptual modeling, and pattern recognition. Lin Ma received his Ph.D. degree in Department of Electronic Engineering at the Chinese University of Hong Kong in 2013. He received the B. E., and M. E. degrees from Harbin Institute of Technology, Harbin, China, in 2006 and 2008, respectively, both in computer science. He is currently a Researcher in Huawei Noah’s Ark Lab, Hong Kong. He got the best paper award in Pacific-Rim Conference on Multimedia 2008. He was awarded the Microsoft Research Asia fellowship in 2011. He was a finalist to HKIS young scientist award in engineering science in 2012. His research interests include visual quality assessment, super-resolution, restoration, compression. Weisi Lin received the Ph.D. degree from King’s College, London University, London, U.K. He is currently an Associate Professor and Associate Chair (Graduate Studies) with the School of Computer Engineering, Nanyang Technological University, Singapore. He has published over 270 refereed papers at international journals and conferences. His current research interests include image processing, visual quality evaluation and perception-inspired signal modeling. He is a senior member of IEEE, and a fellow of IET. King Ngi Ngan received the Ph.D. degree inelectrical engineering from Loughborough University, Loughborough, U.K. He is currently a Chair Professor with the Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong. He holds honorary and visiting professorships with numerous universities in China, Australia, and South East Asia. He has published extensively, including three authored books, six edited volumes, over 300 refereed technical papers, and has edited nine special issues in journals. He holds ten patents in image or video coding and communications. He is a fellow of IEEE, IET and IEAust. Show Less

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. Ed(S): Deng, Chenwei; Ma, Lin; Lin, Weisi; Ngan, King Ngi

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