{"product_id":"digital-video-quality-isbn-9780470024041","title":"Digital Video Quality","description":"\u003cp\u003e\u003cb\u003eVisual quality assessment is an interdisciplinary topic that links image\/video processing, psychology and physiology. Many engineers are familiar with the image\/video processing; transmission networks side of things but not with the perceptual aspects pertaining to quality.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eDigital Video Quality\u003c\/i\u003e first introduces the concepts of human vision and visual quality. Based on these, specific video quality metrics are developed and their design is presented. These metrics are then evaluated and used in a number of applications, including image\/video compression, transmission and watermarking.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIntroduces the concepts of human vision and vision quality.\u003c\/li\u003e \u003cli\u003ePresents the design and development of specific video quality metrics.\u003c\/li\u003e \u003cli\u003eEvaluates video quality metrics in the context of image\/video compression, transmission and watermarking.\u003c\/li\u003e \u003cli\u003ePresents tools developed for the analysis of video quality\u003c\/li\u003e \u003c\/ul\u003e  About the Author.  \u003cp\u003eAcknowledgements.\u003c\/p\u003e \u003cp\u003eAcronyms.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Motivation.\u003c\/p\u003e \u003cp\u003e1.2 Outline.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Vision.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Eye.\u003c\/p\u003e \u003cp\u003e2.2 Retina.\u003c\/p\u003e \u003cp\u003e2.3 Visual Pathways.\u003c\/p\u003e \u003cp\u003e2.4 Sensitivity to Light.\u003c\/p\u003e \u003cp\u003e2.5 Color Perception.\u003c\/p\u003e \u003cp\u003e2.6 Masking and Adaptation.\u003c\/p\u003e \u003cp\u003e2.7 Multi-channel Organization.\u003c\/p\u003e \u003cp\u003e2.8 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Video Quality.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Video Coding and Compression.\u003c\/p\u003e \u003cp\u003e3.2 Artifacts.\u003c\/p\u003e \u003cp\u003e3.3 Visual Quality.\u003c\/p\u003e \u003cp\u003e3.4 Quality Metrics.\u003c\/p\u003e \u003cp\u003e3.5 Metric Evaluation.\u003c\/p\u003e \u003cp\u003e3.6 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Models and Metrics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Isotropic Contrast.\u003c\/p\u003e \u003cp\u003e4.2 Perceptual Distortion Metric.\u003c\/p\u003e \u003cp\u003e4.3 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Metric Evaluation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Still Images.\u003c\/p\u003e \u003cp\u003e5.2 Video.\u003c\/p\u003e \u003cp\u003e5.3 Component Analysis.\u003c\/p\u003e \u003cp\u003e5.4 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Metric Extensions.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Blocking Artifacts.\u003c\/p\u003e \u003cp\u003e6.2 Object Segmentation.\u003c\/p\u003e \u003cp\u003e6.3 Image Appeal.\u003c\/p\u003e \u003cp\u003e6.4 Summary.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Closing Remarks.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Summary.\u003c\/p\u003e \u003cp\u003e7.2 Perspectives.\u003c\/p\u003e \u003cp\u003eAppendix: Color Space Conversions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e  ?We can also truly recommend Digital Video Quality for engineers\u003cbr\u003e designing or implementing video compression\/transmission systems, as well as researchers and students in the fields of\u003cbr\u003e image processing and communications.?\u003cbr\u003e http:\/\/www.comsoc.org\/pubs\/index.html\u003cbr\u003e (October 2007)  \u003cp\u003e\"...a comprehensive answer to questions that might raise while investigating and developing the video systems...truly recommend Digital Video Quality for engineers...\" (\u003ci\u003eIEEE Communications Magazine\u003c\/i\u003e, October 2007)\u003cbr\u003e \u003c\/p\u003e  \u003cb\u003eStefan Winkler\u003c\/b\u003e was born in Horn, Austria. He received the M.Sc. degree with highest honors in electrical engineering from the University of Technology in Vienna, Austria, in 1996, and the Ph.D. degree in electrical engineering from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2000 for work on vision modeling and video quality measurement. He also spent one year at the University of Illinois at Urbana-Champaign as a Fulbright student. He did internships at Siemens, ROLM, German Aerospace, Andersen Consulting, and Hewlett-Packard.\u003cbr\u003e In January 2001 he co-founded Genimedia (now Genista), a company developing perceptual quality metrics for multimedia applications. In October 2002, he returned to EPFL as a post-doctoral fellow, and he also held an assistant professor position at the University of Lausanne for a semester. Currently he is Chief Scientist at Genista Corporation.\u003cbr\u003e Dr Winkler has been an invited speaker at numerous technical conferences and seminars. He was organizer of a special session on video quality at VCIP 2003, technical program committee member for ICIP 2004 and WPMC 2004, and has been serving as a reviewer for several scientific journals. He is the author and co-author of over 30 publications on vision modeling and quality assessment.  \u003cb\u003eWhat the eye does not see, compression gets away with.\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eDigital Video Quality\u003c\/i\u003e presents a comprehensive introduction to vision modeling and video quality assessment. The rapid spread of digital imaging systems poses an important new challenge: optimizing their performance with respect to the capture, display, storage and transmission of visual information. This problem has prompted the intensified study of vision models and visual quality metrics in recent years.\u003c\/p\u003e \u003cp\u003eMaintaining an interdisciplinary approach that addresses image and video processing, physiology and psychology, this book:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ehighlights the importance of perceptual aspects pertaining to quality by reviewing the anatomy and physiology of the human visual system;\u003c\/li\u003e \u003cli\u003epresents detailed guidelines for the design of vision models and quality metrics for image processing applications;\u003c\/li\u003e \u003cli\u003eevaluates the prediction performance of quality metrics in the context of video compression and transmission;\u003c\/li\u003e \u003cli\u003edescribes metric extensions with features such as image appeal attributes, segmentation support for specific artefacts and objects of interest.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDigital Video Quality\u003c\/i\u003e is essential reading for video professionals and technical managers working in the multimedia and telecommunications industries. It also provides an invaluable resource for engineers designing or implementing video compression and transmission systems. Researchers and graduate students in the fields of image processing and communication will find this book a useful reference.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989070069989,"sku":"NP9780470024041","price":149.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470024041.jpg?v=1761782670","url":"https:\/\/k12savings.com\/es\/products\/digital-video-quality-isbn-9780470024041","provider":"K12savings","version":"1.0","type":"link"}