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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).
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).
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