Estimating Perceived Video Quality from Objective Parameters in Video over IP Services

In Video over IP services, perceived video quality heavily depends on parameters such as video coding and network Quality of Service. This paper proposes a model for the estimation of perceived video quality in video streaming and broadcasting services that combines the aforementioned parameters with other that depend mainly on the information contents of the video sequences. These fitting parameters are derived from the Spatial and Temporal Information contents of the sequences. This model does not require reference to the original video sequence so it can be used for online, real-time monitoring of perceived video quality in Video over IP services. Furthermore, this paper proposes a measurement workbench designed to acquire both training data for model fitting and test data for model validation. Preliminary results show good correlation between measured and predicted values

Including the Effects of Video Content in the ITU-T G.1070 Video Quality Function

In this paper we present an enhancement to the video quality estimation model described in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications”, including the effect of video content in the G.1070 video quality function. This enhancement provides a much better approximation of the model results with respect to the perceptual MOS values. SAD (Sum of Absolute Differences) is used as an estimation of the video spatial-temporal activity. The results are based on more than 1500 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 50 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats

Quantitative Modeling of the Impact of Video Content in the ITU-T G.1070 Video Quality Estimation Function

In this paper we present an enhancement to the video quality estimation model described in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications”, in order to include the impact of video content, for different display sizes and codecs. This enhancement provides a much better approximation of the model results with respect to the perceptual MOS values for a wide range of video contents. SAD (Sum of Absolute Differences) is used as an estimation of the video spatial-temporal activity, and is included as a new parameter in the model. The results are based on more than 1500 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 50 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats

Subjective Assessment for Standard Television Sequences and Videotoms - H.264/AVC Video Coding Standard, Journal of Telecommunications and Information Technology, 2015, nr 1

This paper presents comparison of videotoms and standard television sequences in terms of image distortions and perceived subjective quality a ected by H.264/AVC compression with changed bit rate. Results from initial tests, performed as laboratory exercise can be a reference to show scale of diversity in both level of degradation and Mean Opinion Score (MOS) evaluation. Results and comments included in this paper give overview on the codec influence on videotoms and can suggest approach for further tests and experiments

Video streaming

B

Quality of experience based provisioning for service providers

Nowadays Network Operators (NOs) are providing service guaranties to customers by largely overprovisioning their networks, but as the Internet keeps growing, this approach is unveiling important issues in terms of cost and management of the network. To optimize the resource usage, and to reduce the existing overprovisioning, in this paper we present a Cross-layer Autonomic Network Management System that permits Service Providers to perform cost-effective network resource reservation with their NOs. In our novel approach, we use the end-user satisfaction level as the metric used to perform the resource provisioning. We show that our system is capable of achieving a high reduction in operational costs for the Service Providers, while keeping proper bounds in the end-user satisfaction for the offered services.Postprint (author’s final draft

Quantitative modeling of the impact of video content in the ITU-T G.1070 video quality estimation function

In this paper we present an enhancement to the video quality estimation model described in ITU-T Recommendation G.1070 “Opinion model for video-telephony applications”, in order to include the impact of video content, for different display sizes and codecs. This enhancement provides a much better approximation of the model results with respect to the perceptual MOS values for a wide range of video contents. SAD (Sum of Absolute Differences) is used as an estimation of the video spatial-temporal activity, and is included as a new parameter in the model. The results are based on more than 1500 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 50 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats

Packet-Layer Quality Assessment for Networked Video

To realize real-time and non-intrusive quality monitoring for networked video, a content-adaptive packet-layer model for quality assessment is proposed. Considering the fact that the coding distortion of a video is dependent not only on the bit-rate but also on the motion characteristic of the video content, temporal complexity is evaluated and incorporated in quality assessment in the proposed model. Since very limited information is available for a packet-layer model, an adaptive method for frame type detection is first applied. Then the temporal complexity which reflects the motion characteristic of the video content is estimated using the ratio of the bit-rate for coding I frames and P frames. The estimated temporal complexity is incorporated in the proposed model, making it adaptive to different video content. Experimental results show that the proposed model achieves an advanced performance in comparison with the ITU-T G.1070 model