scholarly journals Video Error-Resilience Research Based on Error-Resilient Screen Content

2020 ◽  
Vol 10 (14) ◽  
pp. 4923
Author(s):  
Zhe Liu ◽  
He Chen ◽  
Songlin Sun
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Region Of Interest ◽  
Error Resilience ◽  
Transmission Error ◽  
Video Frame ◽  
Video Content ◽  
Selection Mechanism ◽  
Error Resilient ◽  
Screen Content

In order to make video transmission more stable, various error-resilient mechanisms are proposed on video coding in the literature. However, the redundancy mechanism behind classical redundant coding algorithms is relatively simple and is not suitable for the network environment and video content in the context of screen content sequence with multiple abrupt frames and still frames. Motivated by this, a frame-level coding selection mechanism is proposed in this paper for the error-resilience transmission of screen content, where additional code stream or redundant information is considered to improve error-resilient performance with redundant coding and acceptable video quality is obtained in the case of frame transmission error. In addition, selective allocation redundancy is conducted to take the importance of the video frame ROI (region of interest) area into account in the co-encoding process. As a result, the redundancy insertion efficiency and the reliability are improved in return. The corresponding experiments validate the effectiveness of the schemes proposed in this paper.

scholarly journals An Adaptive Systematic Lossy Error Protection Scheme for Broadcast Applications Based on Frequency Filtering and Unequal Picture Protection

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Marie Ramon ◽  
François-Xavier Coudoux ◽  
Marc Gazalet
Keyword(s):  
Channel Coding ◽  
Video Transmission ◽  
Video Quality ◽  
Error Resilience ◽  
Compressed Video ◽  
Frequency Filtering ◽  
Error Protection ◽  
Error Resilient ◽  
Protection Scheme ◽  
Additional Information

Systematic lossy error protection (SLEP) is a robust error resilient mechanism based on principles of Wyner-Ziv (WZ) coding for video transmission over error-prone networks. In an SLEP scheme, the video bitstream is separated into two parts: a systematic part consisting of a video sequence transmitted without channel coding, and additional information consisting of a WZ supplementary stream. This paper presents an adaptive SLEP scheme in which the WZ stream is obtained by frequency filtering in the transform domain. Additionally, error resilience varies adaptively depending on the characteristics of compressed video. We show that the proposed SLEP architecture achieves graceful degradation of reconstructed video quality in the presence of increasing transmission errors. Moreover, it provides good performances in terms of error protection as well as reconstructed video quality if compared to solutions based on coarser quantization, while offering an interesting embedded scheme to apply digital video format conversion.

scholarly journals Low delay error resilience algorithm for H.265|HEVC video transmission

2019 ◽  
Vol 17 (6) ◽  
pp. 2047-2063
Author(s):  
Taha T. Alfaqheri ◽  
Abdul Hamid Sadka
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
High Efficiency ◽  
Video Quality ◽  
Error Resilience ◽  
Video Codec ◽  
Compressed Video ◽  
High Efficiency Video Coding ◽  
Low Delay ◽  
The Impact

AbstractTransmission of high-resolution compressed video on unreliable transmission channels with time-varying characteristics such as wireless channels can adversely affect the decoded visual quality at the decoder side. This task becomes more challenging when the video codec computational complexity is an essential factor for low delay video transmission. High-efficiency video coding (H.265|HEVC) standard is the most recent video coding standard produced by ITU-T and ISO/IEC organisations. In this paper, a robust error resilience algorithm is proposed to reduce the impact of erroneous H.265|HEVC bitstream on the perceptual video quality at the decoder side. The proposed work takes into consideration the compatibility of the algorithm implementations with and without feedback channel update. The proposed work identifies and locates the frame’s most sensitive areas to errors and encodes them in intra mode. The intra-refresh map is generated at the encoder by utilising a grey projection method. The conducted experimental work includes testing the codec performance with the proposed work in error-free and error-prone conditions. The simulation results demonstrate that the proposed algorithm works effectively at high packet loss rates. These results come at the cost of a slight increase in the encoding bit rate overhead and computational processing time compared with the default HEVC HM16 reference software.

Error Resilience Scheme for Real-Time Video

2012 ◽  
Vol 605-607 ◽  
pp. 2475-2478
Author(s):  
Xue Wen Ding ◽  
Yalemtsehay Gared Dagnew ◽  
Ai Ping Yang
Keyword(s):  
Error Detection ◽  
Error Concealment ◽  
Video Quality ◽  
Error Resilience ◽  
Transmission Error ◽  
Detection Technique ◽  
Efficient Detection ◽  
Exact Position ◽  
Temporal Error Concealment

The quality of decoded video in erroneous environment depends on efficient detection and concealment of errors. In this paper, an improved error detection technique and a novel temporal error concealment technique for MPEG-4 video are proposed. The proposed detection technique can detect efficiently some transmission error as well locate the exact position of the first error. The proposed temporal concealment method can mask the impairments caused by the detected error significantly with very low computation complexity. Experimental results show the improved detection technique combining with the proposed temporal concealment method can increase the video quality efficiently.

Color-Aware Packet Marking Based on H.264AVC Coder Extensions for Improved Video Quality

2014 ◽  
Vol 19 (2-3) ◽  
pp. 127-140
Author(s):  
Slawomir Przylucki
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Error Resilience ◽  
Data Partitioning ◽  
Video Data ◽  
Technical Standards ◽  
Video Codecs ◽  
And Control ◽  
Packet Marking ◽  
Diffserv Architecture

Abstract In recent years there is a noticeable trend to implement the video transmission systems based on shared IP networks. At the same time new generations of video codecs such as H.264 are used in industrial installations. This situation forces the need for consideration of methods for efficient video transmission in industrial networks such as surveillance, identification and control systems. The first part of the article discusses the features of modern video codecs, relevant to the streaming applications. Attention is focused on the extensions of the H.264 standard that increase the error-resilience, particularly Data Partitioning (DP) and Flexible Macroblock Ordering (FMO). Next, the principles of prioritization of the video traffic based on the DiffServ architecture is discussed. In this context, separated section presents in detail the rules for packets marking which enable appropriate forwarding the video data. This information is referenced to current recommendations and technical standards. Next the performance of several classical packet marking algorithms and their possible modifications using FMO- and DP-based errorresilience configurations of H.264 are verified in simulations.

scholarly journals Object-Based Approach for Adaptive Source Coding of Surveillance Video

2019 ◽  
Vol 9 (10) ◽  
pp. 2003 ◽  
Author(s):  
Tung-Ming Pan ◽  
Kuo-Chin Fan ◽  
Yuan-Kai Wang
Keyword(s):  
Linear Model ◽  
Video Transmission ◽  
Moving Objects ◽  
Source Coding ◽  
Video Quality ◽  
Surveillance Video ◽  
Surveillance Videos ◽  
Object Based ◽  
High Recognition Accuracy ◽  
Object Dynamics

Intelligent analysis of surveillance videos over networks requires high recognition accuracy by analyzing good-quality videos that however introduce significant bandwidth requirement. Degraded video quality because of high object dynamics under wireless video transmission induces more critical issues to the success of smart video surveillance. In this paper, an object-based source coding method is proposed to preserve constant quality of video streaming over wireless networks. The inverse relationship between video quality and object dynamics (i.e., decreasing video quality due to the occurrence of large and fast-moving objects) is characterized statistically as a linear model. A regression algorithm that uses robust M-estimator statistics is proposed to construct the linear model with respect to different bitrates. The linear model is applied to predict the bitrate increment required to enhance video quality. A simulated wireless environment is set up to verify the proposed method under different wireless situations. Experiments with real surveillance videos of a variety of object dynamics are conducted to evaluate the performance of the method. Experimental results demonstrate significant improvement of streaming videos relative to both visual and quantitative aspects.

An Improved Error Concealment Based on Redundant Motion Vector Information

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng
Keyword(s):  
Video Transmission ◽  
Error Concealment ◽  
Video Quality ◽  
Motion Vector ◽  
Compressed Video ◽  
Vector Information ◽  
Vector Estimation ◽  
Channel Errors ◽  
Bit Stream

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.

scholarly journals Supervised Learning Based Peripheral Vision System for Immersive Visual Experiences for Extended Display

2021 ◽  
Vol 11 (11) ◽  
pp. 4726
Author(s):  
Muhammad Ayaz Shirazi ◽  
Riaz Uddin ◽  
Min-Young Kim
Keyword(s):  
Supervised Learning ◽  
Deep Neural Network ◽  
Peripheral Vision ◽  
Vision System ◽  
Video Frame ◽  
Living Room ◽  
Video Content ◽  
Video Display ◽  
Home Appliance ◽  
Display Content

Video display content can be extended to the walls of the living room around the TV using projection. The problem of providing appropriate projection content is hard for the computer and we solve this problem with deep neural network. We propose the peripheral vision system that provides the immersive visual experiences to the user by extending the video content using deep learning and projecting that content around the TV screen. The user may manually create the appropriate content for the existing TV screen, but it is too expensive to create it. The PCE (Pixel context encoder) network considers the center of the video frame as input and the outside area as output to extend the content using supervised learning. The proposed system is expected to pave a new road to the home appliance industry, transforming the living room into the new immersive experience platform.

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