Joint Source-Channel Video Coding Based on the Optimization of End-to-End Distortions

2006 ◽  
pp. 842-851 ◽  
Author(s):  
Wen-Nung Lie ◽  
Zhi-Wei Gao ◽  
Tung-Lin Liu ◽  
Ping-Chang Jui
Keyword(s):  
Video Coding ◽  
End To End

scholarly journals Bagged Tree And ResNet Based Joint End-to-End Fast CTU Partition Decision Algorithm For Video Intra Coding

2021 ◽  
Author(s):  
Yixiao Li ◽  
Lixiang Li ◽  
Yuan Fang ◽  
Haipeng Peng ◽  
Nam Ling
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Fine Tuning ◽  
Tree Model ◽  
Depth Level ◽  
Decision Algorithm ◽  
Intra Coding ◽  
Cu Partition ◽  
Coding Standards ◽  
End To End

Abstract In the development of video coding standards, advanced ones have greatly improved the bit rate compared with those of previous generation, but also brought a huge increase in coding complexity. Coding standards, such as high efficiency video coding (HEVC), versatile video coding (VVC) and AOMedia video 2 (AV2), get the optimal encoding performance by traversing all possible combinations of coding unit (CU) partition and selecting the combination with minimum coding cost. This process of searching for the best makes up a large part of encoding complexity. To reduce the complexity of coding block partition for many video coding standards, this paper proposes an end-to-end fast algorithm for partition structure decision of coding tree unit (CTU) in intra coding. It can be extended to various coding standards with fine tuning, and is applied to the intra coding of HEVC reference software HM16.7 as an example. In the proposed method, the splitting decision of a CTU is made by a well designed bagged tree model firstly. Then, the partition problem of a 32×32 sized CU is modeled as a 17-output classification task and solved by a well trained residual network (ResNet). Jointly using bagged tree and ResNet, the proposed fast CTU partition algorithm is able to generate the partition quad-tree structure of a CTU through an end-to-end prediction process, instead of multiple decision making procedures at depth level. Besides, several effective and representative datasets are also conducted in this paper to lay the foundation of high prediction accuracy. Compared with the original HM16.7 encoder, experimental results show that the proposed algorithm can reduce the encoding time by 59.79% on average, while the BD-rate loss is as less as 2.02%, which outperforms the results of most of state-of-the-art approaches in the fast intra CU partition area.

scholarly journals A mathematical theory of compressed video buffering: Traffic regulation for end-to-end video network QoS

2015 ◽  
Vol 4 ◽  
Author(s):  
Sherman Xuemin Chen ◽  
Gordon Yong Li
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Mathematical Theory ◽  
Specific Class ◽  
Compressed Video ◽  
Traffic Regulation ◽  
End To End ◽  
Video Services ◽  
Video Network ◽  
Ip Video

The recent successes of over-the-top (OTT) video services have intensified the competition between the traditional broadcasting video and OTT video. Such competition has pushed the traditional video service providers to accelerate the transition of their video services from the broadcasting video to the carrier-grade IP video streaming. However, there are significant challenges in providing large-scale carrier-grade IP video streaming services. For a compressed video sequence, central to the guaranteed real-time delivery are the issues of video rate, buffering, and timing as compressed video pictures are transmitted over an IP network from the encoder output to the decoder input. Toward the understanding and eventual resolution of these issues, a mathematical theory of compressed video buffering is developed to address IP video traffic regulation for the end-to-end video network quality of service. In particular, a comprehensive set of theoretical relationships is established for decoder buffer size, network transmission rate, network delay and jitter, and video source characteristics. As an example, the theory is applied to measure and compare the burstiness and delay of video streams coded with MPEG-2, advanced video coding, and high-efficiency video coding standards. The applicability of the theory to IP networks that consist of a specific class of routers is also demonstrated.

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