live streaming
Deep Learning-Based Real-Time Rate Control for Live Streaming on Wireless Networks
Mortaheb, Matin, Khojastepour, Mohammad A. Amir, Chakradhar, Srimat T., Ulukus, Sennur
Providing wireless users with high-quality video content has become increasingly important. However, ensuring consistent video quality poses challenges due to variable encoded bitrate caused by dynamic video content and fluctuating channel bitrate caused by wireless fading effects. Suboptimal selection of encoder parameters can lead to video quality loss due to underutilized bandwidth or the introduction of video artifacts due to packet loss. To address this, a real-time deep learning based H.264 controller is proposed. This controller leverages instantaneous channel quality data driven from the physical layer, along with the video chunk, to dynamically estimate the optimal encoder parameters with a negligible delay in real-time. The objective is to maintain an encoded video bitrate slightly below the available channel bitrate. Experimental results, conducted on both QCIF dataset and a diverse selection of random videos from public datasets, validate the effectiveness of the approach. Remarkably, improvements of 10-20 dB in PSNR with repect to the state-of-the-art adaptive bitrate video streaming is achieved, with an average packet drop rate as low as 0.002.
DEBATE : YOSHUA BENGIO GARY MARCUS -- LIVE STREAMING
Gary Marcus thinks that symbol-manipulation is critical for causality. In biology, in a complex creature such as a human, one finds many different brain areas. Expecting a monolithic architecture to replicate that seems to Gary Marcus deeply unrealistic. Yoshua Bengio believes that sequential reasoning can be performed while staying in a deep learning framework which makes use of attention mechanisms and the injection of new modularity and training framework (e.g. Bringing causality, in something like the rich form in which it is expressed in humans, into deep learning, would be a real and lasting contribution to general artificial intelligence.
SEMINAL DEBATE : YOSHUA BENGIO GARY MARCUS -- LIVE STREAMING
Yoshua Bengio is recognized as one of the world's leading experts in artificial intelligence and a pioneer in deep learning. Yoshua Bengio's profound influence on the evolution of our society is undeniable. In 2017, he was named an Officer of the Order of Canada. In 2018, he was is the computer scientist who collected the largest number of new citations in the world. In 2019, he received, jointly with Geoffrey Hinton and Yann LeCun, the ACM A.M. Turing Award -- "the Nobel Prize of Computing" -- for conceptual and engineering breakthroughs.
How AI Addresses these 4 Concerns in Live Streaming
AI and its immense potential, spanning a range of areas, can address some of the major issues in Live Streaming. FREMONT, CA: Streaming constitutes a considerable share of all the data moving around. Video forecast is expected to account for 82 percent of internet traffic by 2022. Artificial intelligence (AI) will play a key role in the streaming industry. With AI's capability to impact a range of industry aspects, leaders are trying to utilize the technology to enhance the streaming space as well.
China Internet Report 2017 by Edith Yeung
China Internet Trends 2017 Edith Yeung August 2017 2. Selected by Inc's Magazine as one of the Silicon Valley's investors you must know, Edith Yeung is the head of 500 Startups Greater China and partner of 500 Mobile Collective Fund. Edith invested in over 40 mobile, VR, AR, AI and machine learning startups, including Hooked - #1 reading app for millennium, DayDayCook - #1 Asian Cooking media and platform, Fleksy (acquired by Pinterest), Human (acquired by Mapbox), AISense, and many more. Before 500, Edith was the head of marketing for Dolphin Browser, a Sequoia- backed mobile browser with over 150 million installs worldwide. Edith also worked with many Fortune 500 companies such as Siebel, AMS, AT&T Wireless and Autodesk. There are so many Chinese people...