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Author: Tsz Kwan Lee Publisher: ISBN: Category : Coding theory Languages : en Pages : 143
Book Description
The work on this thesis then contrives a number of fast algorithms for motion estimation. The adoption of motion vector composition (MV composition) for a fast motion estimation scheme in a low-delay hierarchical P-frame structure is firstly proposed. It expedites the motion estimation process for distant reference frames in the hierarchical P structure. In addition, a vector selection algorithmis tailor-made with the proposed hierarchical P coding scheme to further improve the coding efficiency. Simulation results show that the proposed scheme can deliver a remarkable complexity savings and coding efficiency improvement on coding a frame in low temporal layers of the hierarchical P structure. The rest of this work proposes to perform motion locus prediction before motion estimation. By this motion locus prediction, a suitable search range can be adjusted adaptively for motion estimation. Thanks to the rapid development of MVC and 3D videos, the state-of-the-art 3D coding framework provides multi-view plus depth video (MVD) in which the depth map is additional information to be encoded in the coded bitstreams. Depth maps record the distances of various objects in the scene from a viewpoint. With the depth maps from MVD sequences, we reveal the depth variation and the spatial correlation between blocks as well as the temporal correlation between the depth maps and the motion in texture, motion locus perdition can be achieved for speeding up the texture coding in an HEVC encoder. The depth information brings new room for designing an efficient adaptive search range (ASR) algorithm in HEVC. Simulation results show that the proposed ASR algorithms can offer a significant complexity reduction with negligible loss of coded video quality.
Author: Tsz Kwan Lee Publisher: ISBN: Category : Coding theory Languages : en Pages : 143
Book Description
The work on this thesis then contrives a number of fast algorithms for motion estimation. The adoption of motion vector composition (MV composition) for a fast motion estimation scheme in a low-delay hierarchical P-frame structure is firstly proposed. It expedites the motion estimation process for distant reference frames in the hierarchical P structure. In addition, a vector selection algorithmis tailor-made with the proposed hierarchical P coding scheme to further improve the coding efficiency. Simulation results show that the proposed scheme can deliver a remarkable complexity savings and coding efficiency improvement on coding a frame in low temporal layers of the hierarchical P structure. The rest of this work proposes to perform motion locus prediction before motion estimation. By this motion locus prediction, a suitable search range can be adjusted adaptively for motion estimation. Thanks to the rapid development of MVC and 3D videos, the state-of-the-art 3D coding framework provides multi-view plus depth video (MVD) in which the depth map is additional information to be encoded in the coded bitstreams. Depth maps record the distances of various objects in the scene from a viewpoint. With the depth maps from MVD sequences, we reveal the depth variation and the spatial correlation between blocks as well as the temporal correlation between the depth maps and the motion in texture, motion locus perdition can be achieved for speeding up the texture coding in an HEVC encoder. The depth information brings new room for designing an efficient adaptive search range (ASR) algorithm in HEVC. Simulation results show that the proposed ASR algorithms can offer a significant complexity reduction with negligible loss of coded video quality.
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.
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.
Author: Borko Furht Publisher: Springer Science & Business Media ISBN: 1461562414 Category : Computers Languages : en Pages : 168
Book Description
Video technology promises to be the key for the transmission of motion video. A number of video compression techniques and standards have been introduced in the past few years, particularly the MPEG-1 and MPEG-2 for interactive multimedia and for digital NTSC and HDTV applications, and H.2611H.263 for video telecommunications. These techniques use motion estimation techniques to reduce the amount of data that is stored and transmitted for each frame. This book is about these motion estimation algorithms, their complexity, implementations, advantages, and drawbacks. First, we present an overview of video compression techniques with an emphasis to techniques that use motion estimation, such as MPEG and H.2611H.263. Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. An evaluation of current search algorithms, based on a number of experiments on several test video sequences, is presented as well. The theoretical framework for a new fast search algorithm, Densely-Centered Uniform-P Search (DCUPS), is developed and presented in the book. The complexity of the DCUPS algorithm is comparable to other popular motion estimation techniques, however the algorithm shows superior results in terms of compression ratios and video qUality. We should stress out that these new results, presented in Chapters 4 and 5, have been developed by Joshua Greenberg, as part of his M.Sc. thesis entitled "Densely-Centered Uniform P-Search: A Fast Motion Estimation Algorithm" (FAU, 1996).
Author: Athanasios Leontaris Publisher: Now Publishers Inc ISBN: 1601982526 Category : Coding theory Languages : en Pages : 133
Book Description
Motion compensation exploits temporal correlation in a video sequence to yield high compression efficiency. Multiple reference frame motion compensation is an extension of motion compensation that exploits temporal correlation over a longer time scale. Devised mainly for increasing compression efficiency, it exhibits useful properties such as enhanced error resilience and error concealment. Multiple Reference Motion Compensation: A Tutorial Introduction and Survey explores different aspects of multiple reference frame motion compensation, including multihypothesis prediction, global motion prediction, improved error resilience and concealment for multiple references, and algorithms for fast motion estimation in the context of multiple reference frame video encoders
Author: M. Ibrahim Sezan Publisher: Springer Science & Business Media ISBN: 1461532361 Category : Technology & Engineering Languages : en Pages : 499
Book Description
An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
Image compression refers to the process of reducing the quantity of data used to represent digital images, and is a combination of spatial image compression and temporal motion compensation. Spatial image compression is done by exploiting the spatial redundancy. Temporal motion compensation is done by exploiting the correlation of the pixels in the nearby frame. Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The report covers some background of wavelet analysis, data compression and how wavelets have been and can be used for image compression and some of the block matching techniques for motion estimation. In this thesis, investigations have been made to understand the actual mechanism of compression of still images and applying the principle to the video frames. Initially image compression is analyzed using wavelet transform and then it is implemented. In later stages motion estimation techniques are analyzed so as to achieve compression by exploiting the temporal redundancy. Six algorithms for motion estimation are analyzed and compared with each other through their results.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 123
Book Description
What is Motion Estimation In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion happens in three dimensions (3D) but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel. The motion vectors may be represented by a translational model or many other models that can approximate the motion of a real video camera, such as rotation and translation in all three dimensions and zoom. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Motion_estimation Chapter 2: Motion_compensation Chapter 3: Block-matching_algorithm Chapter 4: H.261 Chapter 5: H.262/MPEG-2_Part_2 Chapter 6: Advanced_Video_Coding Chapter 7: Global_motion_compensation Chapter 8: Block-matching_and_3D_filtering Chapter 9: Video_compression_picture_types Chapter 10: Video_super-resolution (II) Answering the public top questions about motion estimation. (III) Real world examples for the usage of motion estimation in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Motion Estimation.
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.
Author: Borko Furht Publisher: Springer ISBN: 9781461378631 Category : Computers Languages : en Pages : 164
Book Description
Video technology promises to be the key for the transmission of motion video. A number of video compression techniques and standards have been introduced in the past few years, particularly the MPEG-1 and MPEG-2 for interactive multimedia and for digital NTSC and HDTV applications, and H.2611H.263 for video telecommunications. These techniques use motion estimation techniques to reduce the amount of data that is stored and transmitted for each frame. This book is about these motion estimation algorithms, their complexity, implementations, advantages, and drawbacks. First, we present an overview of video compression techniques with an emphasis to techniques that use motion estimation, such as MPEG and H.2611H.263. Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. An evaluation of current search algorithms, based on a number of experiments on several test video sequences, is presented as well. The theoretical framework for a new fast search algorithm, Densely-Centered Uniform-P Search (DCUPS), is developed and presented in the book. The complexity of the DCUPS algorithm is comparable to other popular motion estimation techniques, however the algorithm shows superior results in terms of compression ratios and video qUality. We should stress out that these new results, presented in Chapters 4 and 5, have been developed by Joshua Greenberg, as part of his M.Sc. thesis entitled "Densely-Centered Uniform P-Search: A Fast Motion Estimation Algorithm" (FAU, 1996).
Author: Tsz Kwan Lee
Author: Tsz Kwan Lee
Author: Indrajit Chakrabarti
Author: Shilpa Metkar
Author: Borko Furht
Author: Athanasios Leontaris
Author: M. Ibrahim Sezan
Author: 
Author: Fouad Sabry
Author: Mohamed Ghoneim
Author: Borko Furht