Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation, Peter M. Kuhn

Автор: Fillia Makedon; Kurt Mehlhorn; T. Papatheodorou; P
Название: VLSI Algorithms and Architectures
ISBN: 3540167668 ISBN-13(EAN): 9783540167662
Издательство: Springer
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Автор: John H. Reif
Название: VLSI Algorithms and Architectures
ISBN: 0387968180 ISBN-13(EAN): 9780387968186
Издательство: Springer
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Автор: Borko Furht; Joshua Greenberg; Raymond Westwater
Название: Motion Estimation Algorithms for Video Compression
ISBN: 146137863X ISBN-13(EAN): 9781461378631
Издательство: Springer
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Описание: Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. 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.

Автор: Alok N. Choudary; J.H. Patel
Название: Parallel Architectures and Parallel Algorithms for Integrated Vision Systems
ISBN: 1461288258 ISBN-13(EAN): 9781461288251
Издательство: Springer
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Описание: Computer vision is one of the most complex and computationally intensive problem. Hence, not only are the comput- ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif- ferent characteristics.

Автор: Patrick Lysaght; Wolfgang Rosenstiel
Название: New Algorithms, Architectures and Applications for Reconfigurable Computing
ISBN: 1441952640 ISBN-13(EAN): 9781441952646
Издательство: Springer
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Описание: New Algorithms, Architectures and Applications for Reconfigurable Computing consists of a collection of contributions from the authors of some of the best papers from the Field Programmable Logic conference (FPL`03) and the Design and Test Europe conference (DATE`03).

Автор: Alok N. Choudary; J.H. Patel
Название: Parallel Architectures and Parallel Algorithms for Integrated Vision Systems
ISBN: 0792390784 ISBN-13(EAN): 9780792390787
Издательство: Springer
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Описание: Computer vision is one of the most complex and computationally intensive problem. Hence, not only are the comput- ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif- ferent characteristics.

Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation
ISBN: 3319582739 ISBN-13(EAN): 9783319582733
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustron, Poland, in May/June 2017.It consists of 44 carefully reviewed papers selected from 118 submissions.

Автор: Lawrence O`Gorman
Название: Practical Algorithms for Image Analysis with CD-ROM
ISBN: 052188411X ISBN-13(EAN): 9780521884112
Издательство: Cambridge Academ
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Описание: In classic `cookbook style`, this book offers guided access to a collection of algorithms for the digital manipulation and analysis of images, from the simplest steps to advanced functions. In this new edition, the accompanying CD-ROM contains C programs for carrying out the book`s procedures not only as source code but also as executables for Windows and Linux.

Автор: Hans G. Feichtinger; Thomas Strohmer
Название: Gabor Analysis and Algorithms
ISBN: 146127382X ISBN-13(EAN): 9781461273820
Издательство: Springer
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Описание: Gabor proposed the use of a family of functions obtained from one Gaussian by time-and frequency- shifts. as was understood later, the family of shifted and modulated Gaussians spans the space of square integrable functions [BBGK71, Per71] (it even has one function to spare [BGZ75] .

Автор: Kurt D. Skifstad
Название: High-Speed Range Estimation Based on Intensity Gradient Analysis
ISBN: 1461278015 ISBN-13(EAN): 9781461278016
Издательство: Springer
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Описание: Skifstad`s dissertation proposes a new approach to recover depth information using known camera motion. A very interesting aspect of the approach pursued by Skifstad is the method used to bypass the most difficult and computationally expensive step in using stereo or similar approaches for the vision-based depth esti- mation.