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Titlebook: Computational Inference and Control of Quality in Multimedia Services; Vlado Menkovski Book 2015 The Editor(s) (if applicable) and The Aut

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发表于 2025-3-21 16:03:28 | 显示全部楼层 |阅读模式
书目名称Computational Inference and Control of Quality in Multimedia Services
编辑Vlado Menkovski
视频videohttp://file.papertrans.cn/233/232349/232349.mp4
概述Awarded the best doctoral project award 2014 at Eindhoven University of Technology.Develops a novel application of computational intelligence to address complex QoE optimization problems.Provides a ne
丛书名称Springer Theses
图书封面Titlebook: Computational Inference and Control of Quality in Multimedia Services;  Vlado Menkovski Book 2015 The Editor(s) (if applicable) and The Aut
描述.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..
出版日期Book 2015
关键词Cognitive Adaptive Streaming; IPTV Service Management; Video Quality of Experience; Packet-based commun
版次1
doihttps://doi.org/10.1007/978-3-319-24792-2
isbn_softcover978-3-319-36639-5
isbn_ebook978-3-319-24792-2Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Stochastic Stabilization Over Noisy Channelsf the multimedia systems is increasing, along with the diversification of content, devices and the evolution in user expectations. Furthermore, it continues to discuss work in the community that builds upon or is closely related to the given proposition. Finally it presents few open questions and directions for the future work in this domain.
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https://doi.org/10.1007/978-3-031-79995-2The models that contain objectively collected measurements of factors that affect QoE are referred to as objective QoE models. This chapter discusses different objective QoE models and how they can be a part of a QoE management framework.
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https://doi.org/10.1007/978-1-4614-7085-4agement strategies. This chapter starts with a discussion of existing QoE frameworks and continues to introduce a QoE management framework for an IPTV service developed part of this work (Menkovski et al., Second International Conferences on Advances in Multimedia (MMEDIA), 2010) [.] as a demonstration of an end-to-end QoE managment approach.
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