Assessment of IP packet loss influence on perceptual quality of streaming video

Pauliks, Romass; Slaidiņš, Ilmārs; Tretjaks, Konstantins; Krauze, Aldis

doi:10.1109/apmediacast.2015.7210275

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Second, as the packet loss rate and the bit error rate are random events, the normal distribution model is needed to calculate the packet loss rate and the bit error rate [32]- [34]. In this paper, the randomness of events is not considered when calculating the packet loss rate and bit error rate, which will lead to errors in the results.…”

Section: Discussionmentioning

confidence: 99%

An Enlarging-the-Capacity Packet Sorting Covert Channel

et al. 2019

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The construction method of the covert channel has always been a topic of research and exploration in the field of information security, and the use of IP data packets for covert channel construction is also an important method. Based on the above content, this paper proposes an enlarging-the-capacity packet sorting covert channel. We establish enlarging-the-capacity packet sorting covert channel model and derive the functional relationship between the total number of covert information transmitted and the number of ports. This method can send more secret information when the network status is not ideal. The simulation results show that the covert channel of the extended packet sorting has high performance in different packet loss rates and delays, and is superior to other IP covert channel.INDEX TERMS Information security, information hiding, inter-packet interval covert channel, packet sorting covert channel.

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Section: Discussionmentioning

confidence: 99%

An Enlarging-the-Capacity Packet Sorting Covert Channel

et al. 2019

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“…Packet loss above 10%-12% is unacceptable. In general, above 10%-12% packet loss, there is an unacceptable level of packet losses, causing highly long timeout connections, and video conferencing is unusable [154].…”

Section: Test Results Of Scenario Twomentioning

confidence: 99%

Reliable Streaming of Stereoscopic Video Considering Region of Interest

Rahimi¹

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3D video applications are growing increasingly common as the required infrastructure and technology to stream 3D video becomes more predominant. However, the quality of displayed videos may fluctuate due to packet failure as an integral part of either wired or wireless streaming networks. Therefore, more robust methods of video streaming have always been fascinating to show more favourable efficiency outcomes.This thesis first examines different video streaming techniques and compares the pros and cons of each technique. It then introduces a new streaming method that applies to 3D video for live video streaming applications especially for a sporting event or other live video applications.To this end, the thesis describes how a 3D video is captured and represented, and how humans perceive the 3D scene. Considering the pros and cons of current video streaming techniques and intended applications, the proposed method introduces a new multiple description coding (MDC) method focusing on interesting objects of the scene, called the region of interest (ROI). It is worth mentioning that a new technique, using the scene's depth information, is used to extract the ROI. This technique is not as complex as learning algorithms are, and there is no need to train the algorithm. Since the human eye is more sensitive to objects than pixels, this method can also provide better performance from the point of subjective assessment (which is out of focus of this thesis) because the proposed method focuses on important objects of the scene and assigns more bandwidth to them. Heartfelt gratitude and love go to my parents, Zahra and Mohammadali, for providing me with abundant support and continuous encouragement throughout my years of study.Last, but not least, I wish to express my infinite appreciation and love to my wife, Elham. Without her endless patience and unfailing support, completing this thesis would not have been possible.

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Error sensitivity model based on spatial and temporal features

et al. 2020

Multimed Tools Appl

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Assessment of IP packet loss influence on perceptual quality of streaming video

Cited by 7 publications

References 23 publications

An Enlarging-the-Capacity Packet Sorting Covert Channel

An Enlarging-the-Capacity Packet Sorting Covert Channel

Reliable Streaming of Stereoscopic Video Considering Region of Interest

Error sensitivity model based on spatial and temporal features

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