000			03762nam a22005415i 4500
999			_c200458435 _d76647
003			TR-AnTOB
005			20231123152132.0
007			cr nn 008mamaa
008			220504s2022 sz | s |||| 0|eng d
020			_a9783030982492
024	7		_a10.1007/978-3-030-98249-2 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aQA76.76.C672
072		7	_aTJK _2bicssc
072		7	_aTEC041000 _2bisacsh
072		7	_aTJK _2thema
090			_aQA76.76.C672EBK
100	1		_aZadtootaghaj, Saman. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aQuality of Experience Modeling for Cloud Gaming Services _h[electronic resource] / _cby Saman Zadtootaghaj.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aT-Labs Series in Telecommunication Services, _x2192-2829
505	0		_aIntroduction -- Gaming Quality of Experience -- Process for Model Development -- Video Coding Impairment Models -- Integration of Impairment Factors to Gaming QoE -- Performance Evaluation 95 -- Conclusion.
520			_aThis book presents the development of a gaming quality model to predict the gaming Quality of Experience (QoE) of players that could be used for planning the network service or quality monitoring of cloud gaming services. The author presents a model that is developed following a modular structure approach that keeps the different types of impairments separately. The book shows how such a modular structure allows developing a sustainable model as each component can be updated by advances in that specific research area or technology. The presented gaming quality model takes into account two modules of video quality and input quality. The latter considers the interactivity aspects of gaming. The video quality module offers a series of models that differ depending on the level of access to the video stream information, allowing high flexibility for service providers regarding the positions of measuring points within their system. In summary, the present book focuses on (1) creation of multiple image/video and cloud gaming quality datasets, (2) development of a gaming video classification, and (3) development of a series of gaming QoE models to predict the gaming QoE depending on the level of access to the video stream information. Introduces a gaming Quality of Experience (QoE) model that can be used to predict the quality of cloud gaming services; Describes multiple video quality models, signal-based, bitstream-based and planning-based models for gaming content; Presents guidelines for conducting the subjective test for assessment of gaming quality for cloud/online gaming.
650		0	_aTelecommunication.
650		0	_aComputational intelligence.
650		0	_aUser interfaces (Computer systems).
650		0	_aHuman-computer interaction.
650	1	4	_aCommunications Engineering, Networks.
650	2	4	_aComputational Intelligence.
650	2	4	_aUser Interfaces and Human Computer Interaction.
653		0	_aVideo games -- Quality control -- Simulation methods
653		0	_aCloud computing
710	2		_aSpringerLink (Online service)
830		0	_aT-Labs Series in Telecommunication Services, _x2192-2829
856	4	0	_uhttps://doi.org/10.1007/978-3-030-98249-2 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK