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Sinopsis
This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.
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De la contraportada
This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.
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Computational Inference and Control of Quality in Multimedia Services (Springer Theses: Recognizing Outstanding Ph.D Research)
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Cham, CH: Springer International Publishing Switzerland. Printed in the USA, 2015
ISBN 10: 3319247905
ISBN 13: 9783319247908
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Hardcover. Condición: Fine. First Edition. [TECHNOLOGY]. Vlado Menkovski. "Computational Inference and Control of Quality in Multimedia Services (Springer Theses: Recognizing Outstanding Ph.D Research)." Cham, CH: Springer International Publishing Switzerland. Printed in the USA, 2015. English language. Hardcover in glossy color boards. Nonfiction technological thesis in six chapters with foreword, preface, references, and numerous black-and-white and color charts, diagrams, tables, and graphs. 8vo. 9 1/2 x 6 1/3 inches. 14 oz. xiv, 136 pp. Text clean. Like New to Fine. ISSN: 2190-5053. ISBN: 9783319247908. "This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate.". Nº de ref. del artículo: 10325
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Computational Inference and Control of Quality in Multimedia Services (eng)
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Computational Inference and Control of Quality in Multimedia Services
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Computational Inference and Control of Quality in Multimedia Services (Springer Theses)
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Computational Inference and Control of Quality in Multimedia Services
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Computational Inference and Control of Quality in Multimedia Services
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Springer International Publishing Nov 2015, 2015
ISBN 10: 3319247905
ISBN 13: 9783319247908
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis focuses on the problem of optimizing the quality of network multimedia services. This problem spans multiple domains, from subjective perception of multimedia quality to computer networks management. The work done in this thesis approaches the problem at different levels, developing methods for modeling the subjective perception of quality based on objectively measurable parameters of the multimedia coding process as well as the transport over computer networks. The modeling of subjective perception is motivated by work done in psychophysics, while using Machine Learning techniques to map network conditions to the human perception of video services. Furthermore, the work develops models for efficient control of multimedia systems operating in dynamic networked environments with the goal of delivering optimized Quality of Experience. Overall this thesis delivers a set of methods for monitoring and optimizing the quality of multimedia services that adapt to the dynamic environment of computer networks in which they operate. 152 pp. Englisch. Nº de ref. del artículo: 9783319247908
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Computational Inference and Control of Quality in Multimedia Services (Springer Theses)
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Computational Inference and Control of Quality in Multimedia Services 2015 (Springer Theses)
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Computational Inference and Control of Quality in Multimedia Services
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Computational Inference and Control of Quality in Multimedia Services
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