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The paper presents the scalable video quality model part of the P.1203 Recommendation series, developed in a competition within ITU-T Study Group 12 previously referred to as P.NATS. It provides integral quality predictions for 1 up to 5 min long media sessions for HTTP Adaptive Streaming (HAS) with up to HD video resolution. The model is available in four modes of operation for different levels of...
This paper describes a quality model for HTTP Adaptive Streaming. It integrates existing audio and video quality scores to a final quality estimation, factoring in quality variations over time, the recency effect, as well as location and length of buffering events at the player side. We built the model based on data gathered from more than 17 subjective quality tests. It was submitted to the ITU-T...
In this paper, we assess audiovisual quality of HTTP Adaptive Streaming using a novel subjective test design. The goal of this test was to systematically study the impact of both quality variations and stalling events on remembered quality. To gather more ecologically valid results, we wanted to reach a degree of test subject engagement and attention closer to real-life video viewing than what is...
With video services such as HTTP-based adaptive streaming, network congestion may result in quality fluctuations over several minutes. There is therefore a need for estimating the quality of long audiovisual sequences. This can be achieved by using short-term audiovisual quality models, which output quality scores for short periods of time, for instance 10 s. Temporal pooling such as averaging is...
In this paper, a novel method for predicting the visibility of packet losses in SD and HD H.264/AVC video sequences and modeling their impact on perceived quality is proposed. Based on the findings of a new subjective experiment it is initially shown that the classification of packet loss visibility in a binary fashion is not sufficient to model the perceptual degradations caused by the transmission...
In this paper, a no reference bit stream model for quality assessment of SD and HD H.264/AVC video sequences based on packet loss visibility is proposed. The method considers the impact of network impairments on human perception and uses the visibility of packet losses to predict objective scores. Also, a new subjective experiment has been designed to provide insight into the perceptual effect of...
This article provides a tutorial overview of current approaches for monitoring the quality perceived by users of IP-based audiovisual media services. The article addresses both mobile and fixed network services such as mobile TV or Internet Protocol TV (IPTV). It reviews the different quality models that exploit packet- header-, bit stream-, or signal-information for providing audio, video, and audiovisual...
The quality of audio-visual services is largely influenced by the qualities of the auditory and the visual signals. Perception of both signals is integrated and a single audio-visual rating is formed. The integration function depends, however, on the type of application. In this paper, we compare different integration functions which have been determined from empirical data collected in human-human...
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