Incorporating User Perception in Adaptive Video Streaming Systems

Cranley, Nicola; Murphy, Liam

doi:10.4018/9781599049533.ch108

Cited by 10 publications

(17 citation statements)

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“…The results reported in [42] investigated the optimum number of coding quality levels that could be used in an adaptive video system by studying the just noticeable difference levels that exist in the quality range of video content. The incorporation of the effects of frame rate and resolution adaptations on the user perception to obtain the encoding configuration that maximizes the QoE for a certain type of content has been investigated in [7]. The study presented in [23] particularly compared the difference of the impact of increase and decrease of quality in response to a variation in the network condition.…”

Section: Related Workmentioning

confidence: 99%

On subjective quality assessment of adaptive video streaming via crowdsourcing and laboratory based experiments

Sogaard

Shahid

Pokhrel

et al. 2016

Multimed Tools Appl

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Video streaming services are offered over the Internet and since the service providers do not have full control over the network conditions all the way to the end user, streaming technologies have been developed to maintain the quality of service in these varying network conditions i.e. so called adaptive video streaming. In order to cater for users' Quality of Experience (QoE) requirements, HTTP based adaptive streaming solutions of video services have become popular. However, the keys to ensure the users a good QoE with this technology is still not completely understood. User QoE feedback is therefore instrumental in improving this understanding. Controlled laboratory based perceptual quality experiments that involve a panel of human viewers are considered to be the most valid method of the assessment of QoE. Besides laboratory based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative

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Section: Related Workmentioning

confidence: 99%

On subjective quality assessment of adaptive video streaming via crowdsourcing and laboratory based experiments

Sogaard

Shahid

Pokhrel

et al. 2016

Multimed Tools Appl

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“…Examples include the approaches by Chou [4], Chakareski [14], Eichhorn [15] and Cranley and Murphy [11]. Typically, these algorithms base rate-distortion optimization on error-probability cost functions, where errors are characterised in such a way as to encompass bit error rate, packet loss, and delay (such that the packet is too late to be useful).…”

Section: Rdo Delivery Nodementioning

confidence: 99%

“…Much of this current work is aimed at applications such as improving the relevance of multimedia search results. While there have been some efforts to identify semantics for use in the delivery process [8][9][10][11], the framework recently proposed in [12] provides a solution for how to use this information within a practical system. This intelligent multimedia delivery system considers the contribution of the meaning of the content when deciding how best to deliver to a user.…”

Section: Introductionmentioning

confidence: 99%

Semantic-aware delivery of multimedia

Thomas-Kerr

Ritz

Burnett³

2009

2009 9th International Symposium on Communications and Information Technology

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This paper describes a system that is able to take arbitrary semantic metadata, and utilize it in the multimedia delivery decision-making process. Format independence is achieved using schema languages to describe the details of any given content or metadata, so that declarative mapping rules can be specified for translating from format-specific data points to format-independent concepts that are directly used by the framework. The system utilizes the criterion of "semantic-distortion", as an extension of Rate-Distortion Optimization based multimedia delivery. Several short video clips were encoded using H.264/SVC scalable video coding, and Scalable-To-Lossless (SLS) audio coding and adapted to four target bit rates. Subjective tests found a 72% preference for those clips which had been adapted so as to devote more bandwidth to the semantically important parts of the content when compared with standard objective-based bit-rate adaptation. Abstract-This paper describes a system that is able to take arbitrary semantic metadata, and utilize it in the multimedia delivery decision-making process. Format independence is achieved using schema languages to describe the details of any given content or metadata, so that declarative mapping rules can be specified for translating from format-specific data points to format-independent concepts that are directly used by the framework. The system utilizes the criterion of "semanticdistortion", as an extension of Rate-Distortion Optimization based multimedia delivery. Several short video clips were encoded using H.264/SVC scalable video coding, and ScalableTo-Lossless (SLS) audio coding and adapted to four target bit rates. Subjective tests found a 72% preference for those clips which had been adapted so as to devote more bandwidth to the semantically important parts of the content when compared with standard objective-based bit-rate adaptation. Disciplines Physical Sciences and Mathematics

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“…However the test method was more oriented to the design of the streaming system than on the evaluation of system performance in relation to the quality transitions and the events that take place in HAS. Another example consists of the incorporation of the effects of frame rate and resolution adaptations on the user's perception to obtain the encoding configuration that maximizes the QoE for a certain type of content [10]. In this study, the SSCQE [11] using a slider scale on the screen of the TV was employed as the subjective test methodology which could in fact distance the observers from the real viewing situations.…”

Section: Dash Quality Metrics and Related Workmentioning

confidence: 99%

Subjective quality assessment of an adaptive video streaming model

et al. 2014

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With the recent increased popularity and high usage of HTTP Adaptive Streaming (HAS) techniques, various studies have been carried out in this area which generally focused on the technical enhancement of HAS technology and applications. However, a lack of common HAS standard led to multiple proprietary approaches which have been developed by major Internet companies. In the emerging MPEG-DASH standard the packagings of the video content and HTTP syntax have been standardized; but all the details of the adaptation behavior are left to the client implementation. Nevertheless, to design an adaptation algorithm which optimizes the viewing experience of the enduser, the multimedia service providers need to know about the Quality of Experience (QoE) of different adaptation schemes. Taking this into account, the objective of this experiment was to study the QoE of a HAS-based video broadcast model. The experiment has been carried out through a subjective study of the end user response to various possible clients' behavior for changing the video quality taking different QoE-influence factors into account. The experimental conclusions have made a good insight into the QoE of different adaptation schemes which can be exploited by HAS clients for designing the adaptation algorithms.

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Incorporating User Perception in Adaptive Video Streaming Systems

Cited by 10 publications

References 0 publications

On subjective quality assessment of adaptive video streaming via crowdsourcing and laboratory based experiments

On subjective quality assessment of adaptive video streaming via crowdsourcing and laboratory based experiments

Semantic-aware delivery of multimedia

Subjective quality assessment of an adaptive video streaming model

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