Tencent Cloud empowers AI capabilities for audio and video

From May 23rd to 24th, the two-day 2018 Tencent "Cloud + Future" Summit was held in Guangzhou. As one of the 13 major sessions, Tencent Cloud released a number of black video technologies in the video session. Among them, Bright Eyes, which focuses on audio and video AI technology, provides a solid guarantee for major video, live broadcast and other enterprises to reduce costs and speed up with its ultra-fast high-definition characteristics. .

Tens of millions of concurrent traffic, game live broadcast faces technical challenges

It is self-evident that the live broadcast industry is in full swing. According to the 40th "Statistical Report on China's Internet Development Status" released by the China Internet Network Information Center, as of June 2017, there were 343 million live webcast users, accounting for 45.6 of the total netizens. %. And game live broadcast occupies most of the traffic in the live broadcast industry.

The recent hot chicken-eating and the "enduring" LOL have become a big player in the number of live game viewers. During the 2018 League of Legends MIS finals held in the previous period, Tencent Cloud’s network traffic reached 21.3T, the peak P2P broadband exceeded 10T, and the maximum online concurrent number exceeded 13 million; the same data is more reflected in the "chicken eating" game. In September last year, a certain anchor had a live broadcast of eating chicken with Wang Sicong and Lin Junjie, and the number of viewers was close to 200W.

Data shows that most users will choose a live broadcast website with a higher game bit rate and a clearer picture. At present, the 8M bit rate has become the standard configuration, and the bandwidth cost has doubled.

The short-term high concurrency scenarios such as "eating chicken" and the LOL finals have brought tremendous pressure on the cost of the live video platform and the bandwidth of the video cloud CDN. Enterprises are not only facing the problem of live broadcast cost, but also live broadcast technology. challenge.

AI blessed audio and video, extremely fast and highly flexible

In order to solve the cost and technical problems faced by the game live broadcast industry, Tencent Cloud released the audio and video AI solution-Mingmo at the "Cloud + Future" summit. What kind of sparks the combination of audio and video technology and AI artificial intelligence will create is the best proof of Tencent Cloud's ability to illuminate the eyes.

Ultra-fast HD is one of the most important features of Mingmo. Through AI technology, Mingmo can intelligently determine the type of video scene, and apply completely different encoding parameters such as IBP frame type, quantization parameter QP, resolution, etc. to different segments in the same video. Try to reduce the video bit rate and reduce the CDN bandwidth without reducing the video quality.

Give AI capabilities to audio and video, Tencent Cloud speeds up the live broadcast platform and reduces costs

Tencent Cloud empowers AI capabilities for audio and video

At present, Tencent's audio and video AI technology can reduce the bit rate of the original stream by 30%, and the VMAF score can be maintained at more than 90 points, which can ensure that the processed video cannot be subjectively perceived by the human eye to be different from the original stream.

In addition, X-P2P technology is also an important part of Tencent Cloud Video AI technology. Tencent Cloud X-P2P technology is a kind of CDN acceleration solution. Compared with traditional CDN solutions, X-P2P technology has the characteristics of better effect and higher cost performance. At present, the number of Tencent Cloud X-P2P nodes has reached tens of millions. The node coverage is tidal and decentralized, and the card broadcast rate is the lowest in the entire network.

Reduce costs and speed up, helping the industry to develop compliance

Not only that, Tencent Mingmo also has the four major characteristics of more efficient video editing, more fun video interaction, and safer video business. Through technical output, it provides the possibility for live broadcast enterprises, industry to speed up and reduce costs, and to standardize development.

According to information on the official website of Tencent Cloud, in terms of intelligent video editing, through cloud image recognition and voice recognition technology, Mingmo can combine videos and scripts for subtitle translation, image retrieval and positioning, video type analysis, label definition, strip removal, smart cover and other services ;

In terms of video interactivity, Tencent Bright Eyes can analyze the anchor’s facial area in real time through industry-leading image and body recognition and dynamic image processing components built by Tencent Youtu Lab, and cover carefully designed special effects pendants at appropriate locations. , Provide a rich material library with dozens of special effect maps for video cloud customers;

Give AI capabilities to audio and video, Tencent Cloud speeds up the live broadcast platform and reduces costs

Tencent Audio and Video Laboratory's unique body language recognition deep learning technology, offline data training, terminal real-time application, provide multi-scenario applications based on gesture language recognition. It can provide users with functions such as beauty, animation, pendant, gesture recognition, body recognition, motion tracking, awkward dance, green screen, etc.;

In terms of video business security, through Tencent's efficient image recognition and keyword filtering and other AI technologies, Tencent Mingmo can provide users with intelligent services such as video pornography, terrorist identification, political monitoring, and keyword filtering.

Tencent Cloud's audio and video AI capabilities have reduced costs and speeded up the development of enterprises, and provided a bridge for the transformation and upgrading of the video industry. Wang Tao, vice president of Tencent Cloud, said: “As an industry leader, Tencent Video Cloud will continue to promote the upgrading of the video industry by combining big data and artificial intelligence technologies.”

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