Topic
Video quality
About: Video quality is a research topic. Over the lifetime, 13143 publications have been published within this topic receiving 178307 citations.
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Patent•
24 Mar 2006
TL;DR: In this article, a new approach to objective quality assessment of DCT-coded video sequences, with or without a reference, is proposed, which is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis.
Abstract: A new approach to objective quality assessment of DCT-coded video sequences, with or without a reference is proposed. The system is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis. The methods mimic function of the human visual system (HVS): A neural network training algorithm is used for determining the optimal network weights and biases for both system modes of operation. The proposed method allows for assessment of DCT-coded video sequences without the original source being available (pseudo-reference mode). The pseudo-reference mode is also comprised of a proprietary DCT-coded video (MPEG) noise reducer (MNR), co-pending patent application no. 60/592,143.
48 citations
Patent•
25 Apr 2012
TL;DR: In this paper, a method, a system and a device for evaluating the video quality, which are used for improving the accuracy of evaluating video quality is presented. And the authors also provide a device and a system for evaluating video video quality.
Abstract: The embodiment of the invention discloses a method, a system and a device for evaluating the video quality, which are used for improving the accuracy of evaluating the video quality. The method comprises the following steps: acquiring transmitted video information; resolving and obtaining a video frame parameter according the transmitted video information, wherein the video frame parameter comprises a compressed anamorphic parameter and/or a data packet lost video quality anamorphic parameter; and calculating the video frame quality parameter according to the video frame parameter. The embodiment of the invention also provides a device and a system for evaluating the video quality. The accuracy of evaluating the video quality under the condition of no reference can be effectively improved.
48 citations
13 May 2009
TL;DR: In this paper six pooling methods applied to five objective video quality metrics are compared and the best prediction capability has been obtained by thosePooling methods that reflect two phenomena: a recency effect and the worst quality section influence.
Abstract: Objective video quality evaluation incorporates spatial and temporal degradation effects to calculate quality grade for each video frame alone, as well as the overall quality grade for the whole sequence. Distortion visibility depends not only on the level of degradation but also on video content and viewer's preferences. Temporal pooling is a method that collapses series of frame quality scores to one quality score for whole video sequence and it should be aware of an influence of the video quality variation to the human overall judgments of quality. In this paper six pooling methods applied to five objective video quality metrics are compared. The best prediction capability has been obtained by those pooling methods that reflect two phenomena: a recency effect and the worst quality section influence. Moreover, the statistics of individual frames scores tends to be of high importance and strongly influences pooling method capabilities.
48 citations
TL;DR: This paper simplifies the design of DASH by only exploiting client-side buffer state information and proposes a pure buffer-based DASH scheme to optimize user QoE, and shows that this approach can achieve the best performance compared with other alternative approaches.
Abstract: Recently, the prevalence of mobile devices together with the outburst of user-generated contents has fueled the tremendous growth of the Internet traffic taken by video streaming. To improve user-perceived quality-of-experience (QoE), dynamic adaptive streaming via HTTP (DASH) has been widely adopted by practical systems to make streaming smooth under limited bandwidth. However, previous DASH approaches mostly performed complicated rate adaptation based on bandwidth estimation, which has been proven to be unreliable over HTTP. In this paper, we simplify the design by only exploiting client-side buffer state information and propose a pure buffer-based DASH scheme to optimize user QoE. Our approach can not only get rid of the drawback caused by inaccurate bandwidth estimation, but also incur very limited overhead. We explicitly define an integrated user QoE model, which takes playback freezing, bitrate switch, and video quality into account, and then formulate the problem into a non-linear stochastic optimal control problem. Next, we utilize control theory to design a dynamic buffer-based controller for DASH, which determines video bitrate of each chunk to be requested and stabilize the buffer level in the meanwhile. Extensive experiments have been conducted to validate the advantages of our approach, and the results show that our approach can achieve the best performance compared with other alternative approaches.
48 citations
TL;DR: A network management algorithm that takes into account the information received by the user to take the appropriate actions and vary some features of the IP network to provide enough IPTV QoE to the customer is presented.
Abstract: One of the biggest problems of the IPTV providers is to offer enough quality of experience (QoE) to their customers. The minimum bandwidth in the access network required to provide IPTV services, jointly with the necessity to guarantee the QoE to the customers, creates the need for new type of algorithms to satisfy the network requirements. Apart from the parameters that depend on the application aspect and design, the user's QoE mainly depends on the video quality (VQ), which can be affected by the network parameters (jitter, delay, lost packets, etc.), and on other parameters, such as zapping time and synchronization time. In this paper, we implement several benches to know how each measurable parameter affects the user's QoE. Taking into account these parameters, we propose an analytical expression for the QoE calculation. Then, the paper presents a network management algorithm that takes into account the information received by the user to take the appropriate actions and vary some features of the IP network to provide enough IPTV QoE to the customer. Finally, we measure how one of the actions taken by our system affects the network performance and the VQ. Copyright © 2010 John Wiley & Sons, Ltd.
(The user's QoE mainly depends on the video quality, which can be affected by parameters such as jitter, delay, packets lost, synchronization time, etc. In this paper, we analyze how each one of them affects the QoE and we propose an analytical expression for its calculation. Then, we present a network management algorithm that takes into account the information received from the customer and vary some features in the IP network in order to provide enough QoE to the customer. Copyright © 2010 John Wiley & Sons, Ltd.)
48 citations