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Video quality

About: Video quality is a research topic. Over the lifetime, 13143 publications have been published within this topic receiving 178307 citations.


Papers
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Proceedings ArticleDOI
05 Aug 2013
TL;DR: In this article, a method for static video summarization that can produce meaningful and informative video summaries is proposed, which uses local descriptors and temporal video segmentation to produce better summaries than state of the art methods.
Abstract: The continuous creation of digital video has caused an exponential growth of digital video content. To increase the usability of such large volume of videos, a lot of research has been made. Video summarization has been proposed to rapidly browse large video collections. To summarize any type of video, researchers have relied on visual features contained in frames. In order to extract these features, different techniques have used local or global descriptors. In this paper, we propose a method for static video summarization that can produce meaningful and informative video summaries. We perform an evaluation using over 100 videos in order to achieve a stronger position about the performance of local descriptors in semantic video summarization. Our experimental results show, with a confidence level of 99%, that our proposed method using local descriptors and temporal video segmentation produces better summaries than state of the art methods. We also demonstrate the importance of a more elaborate method for temporal video segmentation, improving the generation of summaries, achieving 10% improvement in accuracy. We also acknowledge a marginal importance of color information when using local descriptors to produce video summaries.

43 citations

Journal ArticleDOI
TL;DR: A multi-path solution based on a disjoint algorithm is proposed to reduce the interference and contention, leading to a higher transmission rate and an acceptable delay of TCP transmissions, and provides a higher video quality with a reasonable delay than that of the other protocols.
Abstract: The high quality video streaming in vehicular networks is an urgent topic to provide services on safety and infotainment on the road. To provide high quality video streaming, Forward Error Correction (FEC) is one of the most popular approaches to ensure the needed quality for video streaming by generating duplicated packets. However, several factors might cause problems to FEC in a VANET, like the limited resources of wireless networks, a highly dynamic topology and the large amount of data in video streaming. The duplicated packets might exceed the network capacity. Therefore, in this work, the retransmission mechanism is used to ensure the transmissions, rather than the FEC. The main problem of the retransmission mechanism is the delay. A multi-path solution based on a disjoint algorithm is proposed to reduce the interference and contention, leading to a higher transmission rate and an acceptable delay. In this solution, only I-frames are transmitted through the TCP protocol, and the inter-frames are transmitted through the UDP protocol. To improve the delay of TCP transmissions, a TCP-ETX algorithm is integrated to select the suitable path for TCP transmissions. Simulations are conducted and several results are presented by comparing them to other protocols. Based on the simulation results, the designed multi-path solution protocol provides a higher video quality with a reasonable delay than that of the other protocols.

43 citations

Proceedings ArticleDOI
18 Apr 2010
TL;DR: Experiments conducted on a commercial HSDPA network demonstrate that the proposed optimization techniques can make the remote server based approach feasible, allowing rich Internet games to be played on mobile devices, while ensuring acceptable user experience.
Abstract: A new remote server based gaming approach, where the responsibility of executing the gaming engines is put on remote servers instead of the mobile devices, has the potential for enabling mobile users to play the same rich Internet games available to PC users. However, the mobile gaming user experience may be limited by risks of unacceptably high response time, and low gaming video quality, as gaming control commands, and the resulting gaming video, have to travel through wireless networks characterized by high bandwidth fluctuations, latency and packet loss. In this paper, we propose a set of application layer optimization techniques to ensure acceptable gaming response time and video quality in the remote server based approach. The techniques include downlink gaming video rate adaptation, uplink delay optimization, and client play-out delay adaptation. Experiments conducted on a commercial HSDPA network demonstrate that the proposed optimization techniques can make the remote server based approach feasible, allowing rich Internet games to be played on mobile devices, while ensuring acceptable user experience.

43 citations

Proceedings ArticleDOI
28 Sep 2007
TL;DR: This paper proposes to distribute the video information between several streaming servers and to implement network coding in the forwarding peers in order to increase the quality of the video decoded by the streaming client.
Abstract: In this paper, we consider the problem of streaming video information on lossy packet networks with path and source diversity, such as wireless mesh networks or more generally overlay architectures. We propose to distribute the video information between several streaming servers and to implement network coding in the forwarding peers in order to increase the quality of the video decoded by the streaming client. A network coding algorithm based on Raptor codes permits to combine video packets in the network nodes and to increase the symbol diversity in the network. Coupled with the path diversity in the overlay network, this solution is shown to offer a significant gain in video quality compared to baseline streaming solutions when loss rate becomes important or the network diversity is reduced.

43 citations

Proceedings ArticleDOI
23 May 2010
TL;DR: A new model for non-intrusive prediction of H.264 encoded video quality over UMTS networks and their application to video quality monitoring and adaptation in mobile wireless streaming services is presented.
Abstract: Universal Mobile Telecommunication System (UMTS) is a third generation mobile communication systems that supports wireless wideband multimedia applications. The objective of this paper is to present a new model for non-intrusive prediction of H.264 encoded video quality over UMTS networks and to illustrate their application to video quality monitoring and adaptation in mobile wireless streaming services. First, we present an efficient regression model for predicting video quality non-intrusively for all content types. The model is predicted from a combination of a set of objective parameters in the application and physical layer in terms of the Mean opinion Score (MOS). The application layer parameters considered are the content type, sender bitrate and frame rate and the physical layer parameters are the block error rate modeled with 2-state Markov model for a mean burst length of 1.75. The performance of the proposed metric is evaluated with unseen dataset with good prediction accuracy. Second, we illustrate the application of the model in mobile streaming services by presenting a new Sender Bitrate (SBR) adaptation scheme at pre-encoding stage that is Quality of Experience (QoE) driven. The scheme was tested and evaluated in the NS2 based UMTS simulation network. Extensive simulation results demonstrate the effectiveness of the proposed adaptation scheme in terms of the MOS and especially at the UMTS network bottleneck access where perceived video quality is most affected. The proposed scheme was responsive to available network bandwidth and congestion and adapted the SBR accordingly maintaining acceptable quality in terms of the MOS. The proposed scheme has applications in network planning and content provisioning for network/service providers.

43 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023139
2022336
2021399
2020535
2019609
2018673