Influence of distortions of key frames on video transfer in wireless networks

Sagatov, E.S.; Sukhov, Andrei M.; Calyam, Prasad

doi:10.1109/isvc.2010.5656258

Cited by 4 publications

(8 citation statements)

References 10 publications

(4 reference statements)

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“…Another proposal investigates the dependence of video quality on numbers, expressed as MOS for a given set of QoS network parameters [34]. This work investigates the impact of key frames on the quality perceived by users in wireless systems.…”

Section: Related Workmentioning

confidence: 99%

A real-time video quality estimator for emerging wireless multimedia systems

et al. 2014

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Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user's satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a nonintrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks' impairments, videos' characteristics, and users' perception into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user's perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions.

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Section: Related Workmentioning

confidence: 99%

A real-time video quality estimator for emerging wireless multimedia systems

et al. 2014

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“…Delays of the event detection varies as it is evident from this study that the variation occurs in the course of network interruption in the essence that when there are no interruption in the network the packet delivery is above 90% and when there is interruption the delivery performance decreases approximately by 10% and above. The result of this study goes hand in hand with Sagatov et al (2010) where they highlighted that the quality of the wireless networks is affected when the packet loss is approximately 80% and when the network jitter is about 20%. Therefore the structure of the human body affects the packet acceptance rate and therefore lateness detection of the events and communication among the network.…”

Section: Distance and The Varying Transmitting Power Of The Sensor Nodesmentioning

confidence: 79%

“…Sagatov, Sukhov and Calyam (2010) highlighted that the quality of the wireless networks is affected when the packet loss is approximately 80% and when the network jitter is about 20%. Netstumbler is very important to detect causes of wireless interference, unauthorized events due to access points and any other unusual event (Netstumbler).…”

Section: Literature Reviewmentioning

confidence: 99%

Testing of Event Detection Lateness in Wireless Sensor Networks

Diakite¹,

Haruna²

2013

CIS

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A wireless sensor network (WSNs) technology determines physical properties of the environment through detection of unusual events. The sensor consists of small mini computers powered by batteries and use radio communication for the exchange of information it gathers. The sensors are able to collect the data and exchange the information with all the nodes that were affected and triggered during the event detection. Although the technology has been in use for a period of time it has been noted that there is lateness of the event detection by the technology. Therefore the essence of this paper is to describe the factors affecting the lateness detection of events by WSNs. From the experiment it is evident that varying distance of the sensor nodes to the base station and the transmission power affect the packet data transmission efficiency and thus lateness detection of events. Power level at 5 dBm (maximum level) ensures 90% of the event detected is communicated effectively to the base station whereas minimum power level at -10 dBm allows ineffective detection of events. At -10dBm the base station node could not detect a transmitted data packet at distances beyond 30 feet. Thus the application of any sensor node with the transmitting power at -10 dBm will only be effective at the distance less than 10ft. Therefore, distance of the sensor nodes and the transmission power of the WSNs affect the data packet delivery performance and hence lateness of event detection.

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“…Earlier in [4] the problem of adaptation of modern encoding algorithms and video transfer along wireless networks such as 3G, Wi-Fi, and WiMAX [5], as well as in other networks with poor quality characteristics, was addressed. An attempt was made to find and to compare the numerical correlation of video quality with the network settings.…”

Section: Introductionmentioning

confidence: 99%

“…In this study we implement a research program outlined in [4], where several ways to improve the video quality in wireless networks were suggested. We will analyse the effect of packet duplication and adding redundant information to key frames on the video quality.…”

Section: Introductionmentioning

confidence: 99%

Duplication of key frames of video streams in wireless networks

Sagatov

Sukhov

2011

2011 IFIP Wireless Days (WD)

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Abstract. In this paper technological solutions for improving the quality of video transfer along wireless networks are investigated. Tools have been developed to allow packets to be duplicated with key frames data. In the paper we tested video streams with duplication of all frames, with duplication of key frames, and without duplication. The experiments showed that the best results are obtained by duplication of packages which contain key frames. The paper also provides an overview of the coefficients describing the dependence of video quality on packet loss and delay variation (network jitter).

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Influence of distortions of key frames on video transfer in wireless networks

Cited by 4 publications

References 10 publications

A real-time video quality estimator for emerging wireless multimedia systems

A real-time video quality estimator for emerging wireless multimedia systems

Testing of Event Detection Lateness in Wireless Sensor Networks

Duplication of key frames of video streams in wireless networks

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