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Computer Performance Evaluation and Benchmarking, David Kaeli


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Цена: 9781.00р.
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Автор: David Kaeli
Название:  Computer Performance Evaluation and Benchmarking
ISBN: 9783540937982
Издательство: Springer
Классификация:

ISBN-10: 3540937986
Обложка/Формат: Paperback
Страницы: 154
Вес: 0.25 кг.
Дата издания: 2009
Серия: Lecture notes in computer science / programming and software engineering
Язык: English
Иллюстрации: Illustrations
Размер: 239 x 155 x 13
Читательская аудитория: Professional & vocational
Подзаголовок: Spec benchmark workshop 2009, austin, tx, usa, january 25, 2009 : proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Constitutes the proceedings of the SPEC Benchmark Workshop 2009 held in Austin, Texas, USA on January 25th, 2009. This book includes papers that discuss issues in the area of benchmarking research and technology. It covers such topics as: benchmark suites, CPU benchmarking, power/thermal benchmarking, and modeling and sampling techniques.


Performance Evaluation and Benchmarking

Автор: Raghunath Nambiar; Meikel Poess
Название: Performance Evaluation and Benchmarking
ISBN: 3642104231 ISBN-13(EAN): 9783642104237
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Transaction Processing Performance Council Technology Conference TPCTC 2009 Lyon France August 2428. .

Big Data Benchmarking

Автор: Rabl
Название: Big Data Benchmarking
ISBN: 3319497472 ISBN-13(EAN): 9783319497471
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th International Workshop, WBDB 2015, held in New Delhi, India, in December 2015.

Camera Image Quality Benchmarking

Автор: Phillips
Название: Camera Image Quality Benchmarking
ISBN: 1119054494 ISBN-13(EAN): 9781119054498
Издательство: Wiley
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Цена: 14090.00 р.
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Описание:

The essential guide to the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis

Camera Image Quality Benchmarking contains the basic information and approaches for the use of subjectively correlated image quality metrics and outlines a framework for camera benchmarking. The authors show how to quantitatively compare image quality of cameras used for consumer photography. This book helps to fill a void in the literature by detailing the types of objective and subjective metrics that are fundamental to benchmarking still and video imaging devices. Specifically, the book provides an explanation of individual image quality attributes and how they manifest themselves to camera components and explores the key photographic still and video image quality metrics. The text also includes illustrative examples of benchmarking methods so that the practitioner can design a methodology appropriate to the photographic usage in consideration.

The authors outline the various techniques used to correlate the measurement results from the objective methods with subjective results. The text also contains a detailed description on how to set up an image quality characterization lab, with examples where the methodological benchmarking approach described has been implemented successfully. This vital resource:

  • Explains in detail the entire process behind performing a complete characterization and benchmarking of cameras through image quality analysis
  • Provides best practice measurement protocols and methodologies, so readers can develop and define their own camera benchmarking system to industry standards
  • Includes many photographic images and diagrammatical illustrations to clearly convey image quality concepts
  • Champions benchmarking approaches that value the importance of perceptually correlated image quality metrics

Written for image scientists, engineers, or managers involved in image quality and evaluating camera performance, Camera Image Quality Benchmarking combines knowledge from many different engineering fields, correlating objective (perception-independent) image quality with subjective (perception-dependent) image quality metrics.


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