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Block Matching Algorithm for Video Coding

Block Matching Algorithm for Video Coding PDF Author: Mohamed Ghoneim
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659422331
Category :
Languages : en
Pages : 128

Book Description
Motion estimation is a key issue in the field of moving images analysis. In the framework of video coding, it is combined with motion compensation in order to exploit the spatio temporal correlation of image sequences along the motion trajectory. It then achieves one of the most important compression factors of a video coder. By dividing each frame into rectangular blocks, motion vectors are obtained via the block matching algorithms (BMA). The full search algorithm (FS) is a brute force BMA. It searches all possible locations inside the search window in the reference frame to provide an optimal solution. However, its high computational complexity makes it often not suitable for real-time implementation. Many fast but sub-optimal algorithms are introduced to improve the performance of video coders. The present book analyses three prospects of improving the quality of existing video coding schemes. Namely, one at a time optimization, adaptive search stagey and feature domain based criteria.

Block Matching Algorithm for Video Coding

Block Matching Algorithm for Video Coding PDF Author: Mohamed Ghoneim
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659422331
Category :
Languages : en
Pages : 128

Book Description
Motion estimation is a key issue in the field of moving images analysis. In the framework of video coding, it is combined with motion compensation in order to exploit the spatio temporal correlation of image sequences along the motion trajectory. It then achieves one of the most important compression factors of a video coder. By dividing each frame into rectangular blocks, motion vectors are obtained via the block matching algorithms (BMA). The full search algorithm (FS) is a brute force BMA. It searches all possible locations inside the search window in the reference frame to provide an optimal solution. However, its high computational complexity makes it often not suitable for real-time implementation. Many fast but sub-optimal algorithms are introduced to improve the performance of video coders. The present book analyses three prospects of improving the quality of existing video coding schemes. Namely, one at a time optimization, adaptive search stagey and feature domain based criteria.

A Stochastic Block Matching Algorithm for Motion Estimation in Video Coding

A Stochastic Block Matching Algorithm for Motion Estimation in Video Coding PDF Author: Sungook Kim
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 168

Book Description


Investigation of Block Matching Algorithm for Video Coding

Investigation of Block Matching Algorithm for Video Coding PDF Author: Faizul Hadi bin Mohamad Jamil
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 134

Book Description


Motion Estimation Techniques for Digital Video Coding

Motion Estimation Techniques for Digital Video Coding PDF Author: Shilpa Metkar
Publisher: Springer Science & Business Media
ISBN: 8132210972
Category : Technology & Engineering
Languages : en
Pages : 70

Book Description
The book deals with the development of a methodology to estimate the motion field between two frames for video coding applications. This book proposes an exhaustive study of the motion estimation process in the framework of a general video coder. The conceptual explanations are discussed in a simple language and with the use of suitable figures. The book will serve as a guide for new researchers working in the field of motion estimation techniques.

Efficient Block-matching Motion Estimation Algorithms for Video Coding

Efficient Block-matching Motion Estimation Algorithms for Video Coding PDF Author: Chi Wai Lam
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 202

Book Description


A Novel Block-based Motion Estimation Algorithm and Architectures for Inter-frame Video Coding

A Novel Block-based Motion Estimation Algorithm and Architectures for Inter-frame Video Coding PDF Author: Han-gu YƏ
Publisher:
ISBN:
Category :
Languages : en
Pages : 318

Book Description


Motion Estimation for Video Coding

Motion Estimation for Video Coding PDF Author: Indrajit Chakrabarti
Publisher: Springer
ISBN: 331914376X
Category : Technology & Engineering
Languages : en
Pages : 170

Book Description
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, the book 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.

Block Matching Algorithms for Motion Compensated Video Compression

Block Matching Algorithms for Motion Compensated Video Compression PDF Author: Colin Manning
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 165

Book Description


High Efficiency Video Coding (HEVC)

High Efficiency Video Coding (HEVC) PDF Author: Vivienne Sze
Publisher: Springer
ISBN: 3319068954
Category : Technology & Engineering
Languages : en
Pages : 384

Book Description
This book provides developers, engineers, researchers and students with detailed knowledge about the High Efficiency Video Coding (HEVC) standard. HEVC is the successor to the widely successful H.264/AVC video compression standard, and it provides around twice as much compression as H.264/AVC for the same level of quality. The applications for HEVC will not only cover the space of the well-known current uses and capabilities of digital video – they will also include the deployment of new services and the delivery of enhanced video quality, such as ultra-high-definition television (UHDTV) and video with higher dynamic range, wider range of representable color, and greater representation precision than what is typically found today. HEVC is the next major generation of video coding design – a flexible, reliable and robust solution that will support the next decade of video applications and ease the burden of video on world-wide network traffic. This book provides a detailed explanation of the various parts of the standard, insight into how it was developed, and in-depth discussion of algorithms and architectures for its implementation.

Video Compression

Video Compression PDF Author: Amit Pandit
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659181634
Category :
Languages : en
Pages : 84

Book Description
In this Book, the well-known techniques reducing temporal redundancies in images sequences have been discussed. The most widely used scheme is based on the estimation of motion and compensation with intra frame technique to code the prediction error is discussed in detail. The characteristics and main principles of various approaches are discussed along with advantage and disadvantages. Finally, block based motion estimation techniques that are the most widely used, have been viewed in details. Various industry standard full search and fast search block matching technique have been considered and discussed.The computational complexity and accuracy are the two extremes, so sub-optimal solutions are proposed. The reduction in processing time due to fast search schemes developed is equally supported by advancement in hardware available. In the text some fast novel Block matching algorithms are proposed for reduced complexity and computation as compared to existing and acceptable block matching algorithms