115 research outputs found

    G.1070 model extension at full HD resolution for VP9/HEVC codec

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    HD video streaming, which is gaining in popularity these days requires a large amount of bandwidth. This has resulted in the emergence of newer codecs like H.265/High Efficiency Video Coding (HEVC) and VP9 from Google. These codecs are supposed to provide an excellent video compression to quality ratio. ITU-T describes a standardised parametric model called the G.1070 Opinion Model, which estimates the Quality of Experience (QoE) of any multimedia content. The model estimates three parameters viz. the speech quality alone (Sq), the video quality alone (Vq) and the overall multimedia quality (Mq) of the input video. However, it needs to be trained separately for different codecs, video formats and certain other parameters, which can be obtained by carrying out suitable subjective tests. Our contribution in this paper is threefold. First, we carry out a subjective test according to the Recommendation P.910 to estimate the video quality for VP9 codec. Second, for the first time we use the results obtained from the subjective test to find out a set of coefficients that enables us to extend the G.1070 model for VP9 codec at Full HD resolution. Third, we provide an answer as to which is the better codec from H.265/HEVC and VP9 by evaluating their performance against scores obtained from different standard objective tests like the G.1070 model, Video Quality Metric (VQM) model and the Peak Signal to Noise Ratio (PSNR) model

    User Intention towards a Music Streaming Service: A Thailand Case Study

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    This paper presents a novel acceptance model for an online music streaming scenario of Thailand. The music streaming industry has been gaining in popularity in the recent times.  This research has been conducted in order to measure the user attitude towards the use of this relatively new service using a modified version of the popular Technology Acceptance Model. We try to identify the most popular music-streaming service of Thailand and also the factors that affect the use of such a service. Data has been collected in the form of an online questionnaire survey from more than 300 participants for the purpose of model building and validation. A subsequent regression analysis carried out on the proposed model explains more than 60 percent of the variance of the dependent variable i.e. Behavioral Intention in our case to the predictor variables Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment and Perceived Satisfaction Level. The results show that Perceived Enjoyment and Perceived satisfaction are the two strongest predictors for Behavioral Intention which is quite different from that of the utilitarian type of information systems.Keywords: Music streaming, TAM, hedonic information systems, regression</jats:p

    Exploring Associations between Sense of Place and Depression among Military Veterans

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    With a population exceeding 18 million (United States Department of Veterans Affairs, 2008), depression stands out as a main mental health challenge among veterans (Liu, Collins, Wang, Xie, & Bie, 2019). This research aimed to understand if leaving the military, disturbing the bond between the military environment and its service members, has any contribution to depression after discharge. The sense of place theory was applied in this research to address this query. The multi-disciplinary study focused on the main research question of whether there is a significant relationship between a sense of place in the military and depression. A quantitative study design and cross-sectional strategies were adopted to answer this question. The study found a plausible explanatory pathway between a sense of place and post-discharge depression among veterans. The study's suggested conceptual model of a sense of place was then applied to the context of the military. Among the suggested subdimensions of sense of place in the military (identity, landscape, housing type, and socializing and active engagement), identity had a significant role in the relationship between sense of place and depression. This finding can open an opportunity for an in-depth methodology to provide practical insights that would benefit environmental designers, architects, and related professionals in equipping and designing environments for veterans.Embargo status: Restricted until 06/2025. To request the author grant access, click on the PDF link to the left

    A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective

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    Over the past few years there has been an exponential increase in the amount of multimedia data being streamed over the Internet. At the same time, we are also witnessing a change in the way quality of any particular service is interpreted, with more emphasis being given to the end-users. Thus, silently there has been a paradigm shift from the traditional Quality of Service approach (QoS) towards a Quality of Experience (QoE) model while evaluating the service quality. A lot of work that tries to evaluate the quality of audio, video, and multimedia services over the Internet has been done. At the same time, research is also going on trying to map the two different domains of quality metrics, i.e., the QoS and QoE domain. Apart from the work done by individual researchers, the International Telecommunications Union (ITU) has been quite active in this area of quality assessment. This is obvious from the large number of ITU standards that are available for different application types. The sheer variety of techniques being employed by ITU as well as other researchers sometimes tends to be too complex and diversified. Although there are survey papers that try to present the current state of the art methodologies for video quality evaluation, none has focused on the ITU perspective. In this work, we try to fill up this void by presenting up-to-date information on the different measurement methods that are currently being employed by ITU for a video streaming scenario. We highlight the outline of each method with sufficient detail and try to analyze the challenges being faced along with the direction of future research.</jats:p
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