Motion Estimation for Video Coding : Efficient Algorithms and Architectures, ...-image

Motion Estimation for Video Coding : Efficient Algorithms and Architectures, ...

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Number of Pages: Xviii, 157 Pages Item Length: 9.3 in Publication Year: 2016 Publisher: Springer International Publishing A&G Publication Name: Motion Estimation for Video Coding : Efficient Algorithms and Architectures Item Weight: 97.3 Oz ISBN: 9783319367774 Book Title: Motion Estimation for Video Coding : Efficient Algorithms and Arc Type: Textbook Series: Studies in Computational Intelligence Ser. Item Width: 6.1 in Author: Indrajit Chakrabarti, Sumit Kumar Chatterjee, Kota Naga Srinivasarao Batta gtin13: 9783319367774 Subject: Engineering (General), Intelligence (Ai) & Semantics, Digital Media / Video & Animation, Electronics / Circuits / Integrated, Computer Vision & Pattern Recognition Format: Trade Paperback Subject Area: Computers, Technology & Engineering Language: English

Description

Motion Estimation for Video Coding : Efficient Algorithms and Architectures, Paperback by Chakrabarti, Indrajit; Batta, Kota Naga Srinivasarao; Chatterjee, Sumit Kumar, ISBN 3319367773, ISBN-13 9783319367774, Brand New, Free shipping in the US The need of video compression in the modern age of visual communication cannot be over-emphasized. This monograph will provide useful information to the postgraduate students and researchers who wish to work in the domain of VLSI design for video processing applications. In this book, one can find an in-depth discussion of several motion estimation algorithms and their VLSI implementation as conceived and developed by the authors. It records an account of research done involving fast three step search, successive elimination, one-bit transformation and its effective combination with diamond search and dynamic pixel truncation techniques. Two appendices provide a number of instances of proof of concept through Matlab and Verilog program segments. In this aspect, th can be considered as first of its kind. The architectures have been developed with an eye to their applicability in everyday low-power handheld appliances including video camcorders and smartphones.

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