Online Learning-Based Multi-Stage Complexity Control for Live Video Coding

2021 ◽  
Vol 30 ◽  
pp. 641-656
Author(s):  
Chao Huang ◽  
Zongju Peng ◽  
Yong Xu ◽  
Fen Chen ◽  
Qiuping Jiang ◽  
...  
Author(s):  
Dan Grois ◽  
Ofer Hadar

The computational complexity issue is critical for present and future video applications implemented by relatively new video coding standards, such as the H.264/AVC (Advanced Video Coding), which has a large number of coding modes. One of the main reasons for the importance of providing an efficient complexity control in video coding applications is a strong need to decrease the encoding/decoding computational complexity, especially when the encoding and/or decoding devices are resource-limited, such as portable devices. In turn, efficient complexity control enables reducing the video coding processing time and enables saving power resources during the encoding and/or decoding process. Since the recent dramatic progress in the development of multimedia technologies has made portable devices widespread everywhere, especially in order to provide or receive real-time video contents, the need to enhance the computational complexity control in video coding applications is expected to be further significantly increased as a function of the dramatic increase in the mobile/portable device penetration into the every-day life environment. In this chapter, the authors perform a comprehensive review of the recent advances in computational complexity techniques for video coding applications. This chapter will not only summarize the recent advances in this field, but will also provide explicit directions for the design of the future complexity-aware video coding applications.


2016 ◽  
Vol 18 (4) ◽  
pp. 563-575 ◽  
Author(s):  
Amaya Jimenez-Moreno ◽  
Eduardo Martinez-Enriquez ◽  
Fernando Diaz-de-Maria

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Cong Wang

COVID-19 is a pandemic with a wide reach and explosive magnitude, and the world has been bracing itself for impact. Many have lost their jobs and savings, and many are homeless. For better or worse, COVID-19 has permanently changed our lives. For college students, the pandemic means giving up most of the on-campus experience in the postpandemic era and performing online learning instead. Virtual lessons may become a permanent part of college education. Large-scale online learning typically utilizes interactive live video streaming. In this study, we analyzed a codec and video streaming transmission protocol using artificial intelligence. First, we studied an intraframe prediction optimization algorithm for the H.266 codec based on long short-term memory networks. In terms of video streaming transmission protocols, real-time communication optimization based on Quick UDP Internet connections and Luby Transform codes is proposed to improve the quality of interactive live video streaming. Experimental results demonstrate that the proposed strategy outperforms three benchmarks in terms of video streaming quality, video streaming latency, and average throughput.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Yuanlin Li

<p>With the network of development new media of application have been fully integrated into to We of work and life. How to national?1.2BillionIPTVUser provide high quality of image service is Radio and Television New Media has been thinking Study of topic. The author through years of work experience and a large number of experimental data summarize and verify the to adapt to in IPTV live video rate of standard.</p>


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