Not All Packets Are Equal, Part 2: The Impact of Network Packet Loss on Video Quality

2009 ◽  
Vol 13 (2) ◽  
pp. 74-82 ◽  
Author(s):  
Jason Greengrass ◽  
John Evans ◽  
Ali C. Begen
Keyword(s):  
Packet Loss ◽  
Video Quality ◽  
Equal Part ◽  
The Impact

scholarly journals A Multi-parameter Video Quality Assessment Model Based on 3D Convolutional Neural Network on the Cloud

2021 ◽  
Vol 1 (2) ◽  
pp. 14-22
Author(s):  
Xue Li ◽  
Jiali Qiu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Quality Assessment ◽  
Packet Loss ◽  
Video Quality ◽  
Assessment Model ◽  
Video Quality Assessment ◽  
Network Bandwidth ◽  
Model Based ◽  
The Impact

As the rapid development of big data and the artificial intelligence technology, users prefer uploading more and more local files to the cloud server to reduce the pressure of local storage, but when users upload more and more duplicate files , not only wasting the network bandwidth, but also bringing much more inconvenience to the server management, especially images and videos. To solve the problems above, we design a multi-parameter video quality assessment model based on 3D convolutional neural network in the video deduplication system, we use a method similar to analytic hierarchy process to comprehensively evaluate the impact of packet loss rate, codec, frame rate, bit rate, resolution on video quality, and build a two-stream 3D convolutional neural network from the spatial flow and timing flow to capture the details of video distortion, set the coding layer to remove redundant distortion information. Finally, the LIVE and CSIQ data sets are used for experimental verification, we compare the performance of the proposed scheme with the V-BLIINDS scheme and VIDEO scheme under different packet loss rates. We also use the part of data set to simulate the interaction process between the client and the server, then test the time cost of the scheme. On the whole, the scheme proposed in this paper has a high quality assessment efficiency.

An Experimental Exploration of the Impact of Network-Level Packet Loss on Network Intrusion Detection

2015 ◽  
Author(s):  
Sidney C. Smith ◽  
Kin W. Wong ◽  
II Hammell ◽  
Mateo Robert J. ◽  
Carlos J.
Keyword(s):  
Intrusion Detection ◽  
Packet Loss ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
The Impact

scholarly journals Impact of Scene Content on High Resolution Video Quality

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik
Keyword(s):  
Video Compression ◽  
Spatial Information ◽  
Video Quality ◽  
Video Sequences ◽  
Compression Efficiency ◽  
Opinion Score ◽  
Scene Description ◽  
Two Parameters ◽  
The University ◽  
The Impact

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.

Understanding the impact of video quality on user engagement

2011 ◽  
Vol 41 (4) ◽  
pp. 362-373 ◽  
Author(s):  
Florin Dobrian ◽  
Vyas Sekar ◽  
Asad Awan ◽  
Ion Stoica ◽  
Dilip Joseph ◽  
...  
Keyword(s):  
Video Quality ◽  
User Engagement ◽  
The Impact

scholarly journals A Proposed Adaptive Bitrate Scheme Based on Bandwidth Prediction Algorithm for Smoothly Video Streaming

2021 ◽  
Vol 27 (1) ◽  
pp. 112-129
Author(s):  
Saba Qasim Jabbar ◽  
Dheyaa Jasim Kadhim
Keyword(s):  
Video Streaming ◽  
Video Quality ◽  
Prediction Algorithm ◽  
Buffer Size ◽  
Video Playback ◽  
Buffer Occupancy ◽  
Simulation Results ◽  
Streaming Technology ◽  
The Impact ◽  
Buffer Structure

A robust video-bitrate adaptive scheme at client-aspect plays a significant role in keeping a good quality of video streaming technology experience. Video quality affects the amount of time the video has turned off playing due to the unfilled buffer state. Therefore to maintain a video streaming continuously with smooth bandwidth fluctuation, a video buffer structure based on adapting the video bitrate is considered in this work. Initially, the video buffer structure is formulated as an optimal control-theoretic problem that combines both video bitrate and video buffer feedback signals. While protecting the video buffer occupancy from exceeding the limited operating level can provide continuous video streaming, it may also cause a video bitrate oscillation. So the video buffer structure is adjusted by adding two thresholds as operating points for overflow and underflow states to filter the impact of throughput fluctuation on video buffer occupancy level. Then a bandwidth prediction algorithm is proposed for enhancing the performance of video bitrate adaptation. This algorithm's work depends on the current video buffer level, video bitrate of the previous segment, and iterative throughput measurements to predict the best video bitrate for the next segment. Simulation results show that reserving a bandwidth margin is better in adapting the video bitrate under bandwidth variation and then reducing the risk of video playback freezing. Simulation results proved that the playback freezing happens two times: firstly, when there is no bandwidth margin used and secondly, when the bandwidth margin is high while smooth video bitrate is obtained with moderate value. The proposed scheme is compared with other two schemes such as smoothed throughput rate (STR) and Buffer Based Rate (BBR) in terms of prediction error, QoE preferences, buffer size, and startup delay time, then the proposed scheme outperforms these schemes in attaining smooth video bitrates and continuous video playback.

scholarly journals Media motion-based resource distribution for mobile video networking

2021 ◽  
Vol 39 (4) ◽  
pp. 1183-1189
Author(s):  
U.S. Ukommi
Keyword(s):  
Resource Constraints ◽  
Resource Distribution ◽  
Video Quality ◽  
Video Communication ◽  
Wireless Video ◽  
Quality Performance ◽  
Motion Activity ◽  
The Media ◽  
Channel Errors ◽  
The Impact

Wireless video communication is challenging due to vulnerability of media bitstreams to channel distortions. Investigation has been carried out on wireless video channel under tight networking resource budget. One of the challenges is the impact of channel errors on the quality of media streams with high motion activity. Motion activity in this context defines the magnitude of activity displacement in video sequence. Based on the analysis, Media Motion-based Resource Distribution (MRD) is proposed to maximize the average received video quality over wireless system, by regulating the resource distribution of the media streams based on their motion activity characteristics. Experimental results demonstrate that the proposed scheme can improve the average received video quality performance under tight resource constraints budget. Keywords: Wireless video communication, resource constraints, received video performance, media motion

Congestion Resiliency for Data-Partitioned H.264/AVC Video Streaming Over IEEE 802.11e Wireless Networks

2012 ◽  
Vol 3 (1) ◽  
pp. 55-73 ◽  
Author(s):  
Ismail Ali ◽  
Sandro Moiron ◽  
Martin Fleury ◽  
Mohammed Ghanbari
Keyword(s):  
Access Control ◽  
Video Quality ◽  
Unequal Error Protection ◽  
Data Partitioning ◽  
Ieee 802.11E ◽  
Network Access ◽  
Data Packets ◽  
Error Resiliency ◽  
Partitioned Data ◽  
The Impact

This paper examines the impact of data partitioning form on wireless network access control and proposes a selective dropping scheme based on dropping the partition carrying intra-coded macroblocks. Data partitioning is an error resiliency technique that allows unequal error protection for transmission over ‘lossy’ channels. Including a per-picture, cyclic intra-refresh macroblock line guards against temporal error propagation. The authors show that when congestion occurs, it is possible to gain up to 2 dB in video quality over assigning a stream to a single IEEE 802.11e access category. The scheme is consistently advantageous in indoor and outdoor wireless scenarios over other ways of assigning the partitioned data packets to different access categories. This counter-intuitive scheme for access control purposes reverses the priority usually given to partition-B data packets over that of partition-C.

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