Towards the Instant Tile-Switching for Dash-Based Omnidirectional Video Streaming: Random Access Reference Frame

Author(s):  
Mingyi Yang ◽  
Wenjie Zou ◽  
Jiarun Song ◽  
Fuzheng Yang
2021 ◽  
Author(s):  
Zi Ling

Multiple Description Coding (MDC) is designed for multiple path video streaming with channel diversities. In this thesis, we investigate the performance of multi-path video streaming using the MDC technique. The MDC frame loss rate is one of the indicators of the real time video quality. A classification based framework for making mode decisions to minimize the MDC video frame transmission cost that may be defined in terms of the six parameters, number of sub-streams, number of transmission channels, GOP length, the I-frame positions, probability of network transmission states and probability of transmission changes. This thesis surveys the current status of horizontal decomposition into distributed computation, and vertical decomposition into functional modules such as congestion control, routing, scheduling, random access, and video coding. The focus of this thesis is on the video adaptive coding process to improve performance in terms of one or more of these factors. How to deliver a real-time MDC video from an end user over multi-channels is studied. The traffic is used to probe the network on determinig the network conditions and optimizing the coding algorithms appropriately. An efficient transmission statistical model Auto Regression (AR) to capture the properites of the region of interest is also introduced. Both the mode decisions and the error concealment require feedback from the network regarding the available bandwidth, loss probability, video coding methods and coding time spatial manners. The proposed algorithm works in a fully distributed environment, making it suitable for wireless ad hoc networks or other IP networks.


2018 ◽  
Vol 17 (10) ◽  
Author(s):  
S.-J. Qin ◽  
Y.-K. Wang ◽  
R.-Z. Li ◽  
F. Gao ◽  
Q.-Y. Wen

2021 ◽  
Author(s):  
Zi Ling

Multiple Description Coding (MDC) is designed for multiple path video streaming with channel diversities. In this thesis, we investigate the performance of multi-path video streaming using the MDC technique. The MDC frame loss rate is one of the indicators of the real time video quality. A classification based framework for making mode decisions to minimize the MDC video frame transmission cost that may be defined in terms of the six parameters, number of sub-streams, number of transmission channels, GOP length, the I-frame positions, probability of network transmission states and probability of transmission changes. This thesis surveys the current status of horizontal decomposition into distributed computation, and vertical decomposition into functional modules such as congestion control, routing, scheduling, random access, and video coding. The focus of this thesis is on the video adaptive coding process to improve performance in terms of one or more of these factors. How to deliver a real-time MDC video from an end user over multi-channels is studied. The traffic is used to probe the network on determinig the network conditions and optimizing the coding algorithms appropriately. An efficient transmission statistical model Auto Regression (AR) to capture the properites of the region of interest is also introduced. Both the mode decisions and the error concealment require feedback from the network regarding the available bandwidth, loss probability, video coding methods and coding time spatial manners. The proposed algorithm works in a fully distributed environment, making it suitable for wireless ad hoc networks or other IP networks.


2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Hui-Seon Gang ◽  
Goo-Rak Kwon ◽  
Jae-Young Pyun

To provide high-quality video streaming services in a mobile communication network, a large bandwidth and reliable channel conditions are required. However, mobile communication services still encounter limited bandwidth and varying channel conditions. The streaming video system compresses video with motion estimation and compensation using multiple reference frames. The multiple reference frame structure can reduce the compressed bit rate of video; however, it can also cause significant error propagation when the video in the channel is damaged. Even though the streaming video system includes error-resilience tools to mitigate quality degradation, error propagation is inevitable because all errors can not be refreshed under the multiple reference frame structure. In this paper, a new network-aware error-resilient streaming video system is introduced. The proposed system can mitigate error propagation by controlling the number of reference frames based on channel status. The performance enhancement is demonstrated by comparing the proposed method to the conventional streaming system using static number of reference frames.


1975 ◽  
Vol 26 ◽  
pp. 341-380 ◽  
Author(s):  
R. J. Anderle ◽  
M. C. Tanenbaum

AbstractObservations of artificial earth satellites provide a means of establishing an.origin, orientation, scale and control points for a coordinate system. Neither existing data nor future data are likely to provide significant information on the .001 angle between the axis of angular momentum and axis of rotation. Existing data have provided data to about .01 accuracy on the pole position and to possibly a meter on the origin of the system and for control points. The longitude origin is essentially arbitrary. While these accuracies permit acquisition of useful data on tides and polar motion through dynamio analyses, they are inadequate for determination of crustal motion or significant improvement in polar motion. The limitations arise from gravity, drag and radiation forces on the satellites as well as from instrument errors. Improvements in laser equipment and the launch of the dense LAGEOS satellite in an orbit high enough to suppress significant gravity and drag errors will permit determination of crustal motion and more accurate, higher frequency, polar motion. However, the reference frame for the results is likely to be an average reference frame defined by the observing stations, resulting in significant corrections to be determined for effects of changes in station configuration and data losses.


2011 ◽  
Author(s):  
Mark Mills ◽  
Stefan Van Der Stigchel ◽  
Andrew Hollingworth ◽  
Michael D. Dodd

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