Technology cloud report original.
"As for the quality of the video, I can only accept 720P as the minimum, preferably 1080p." Five years ago, someone around me had already made such a request.
With the advancement of technology, we have entered an era of rapid growth of video content. From social media to online education, from live shopping to virtual meetings, video is gradually becoming the mainstream method of information transmission.
The research report of iResearch pointed out that by the end of 2020, the proportion of Chinese online audio-visual users to the total number of Internet users has reached 95.4%. The high saturation penetration level makes users pay more attention to the experience of audio and video services.
In this context, the demand for high-definition image quality is becoming more and more urgent. With the application and development of AI, the demand for high-definition image quality is easily solved, and the era of real-time high-definition is also coming.
The urgent need for high-definition picture quality
In fact, we have been pursuing visual perfection, and the demand for high-definition picture quality is the embodiment of this pursuit.
Ultra-clear image quality such as FHD, 4K, and 8K makes the image more refined and captures the subtleties of life. Whether it is the delicate emotions of movies or the realistic scenes of games, high-definition image quality makes the experience even better.
With the proliferation of smartphones and tablets, people are increasingly watching videos on their mobile devices. The screen sizes and resolutions of these devices are also increasing, driving the demand for high-definition picture quality.
Especially after the launch of Apple Vision Pro, the requirements for image quality are more urgent. If the pixels are too low, the graininess will be very obvious.
In fact, in the current on-demand industry, high-definition is already a very common phenomenon.
However, modern video content is no longer limited to one-way transmission, and more and more interactive elements have emerged, such as live broadcast and virtual reality. These scenes have higher requirements for image quality and real-time performance, which further promotes the demand for high-definition image quality.
In addition to changes in market user needs, long and short video platforms, content creators, and hardware manufacturers also have urgent needs for high-definition and ultra-clear image quality.
First of all, long video platforms and short video platforms have upgraded their technology to support ultra-clear image quality. This not only reflects the advancement of technology, but also demonstrates the sensitivity and responsiveness of enterprises to market changes.
For content creators, higher image quality can also attract more viewers and win market competition. Whether it is a film producer or an Internet celebrity, high-definition picture quality has become an important tool for them to showcase their talents.
The promotion of high-definition picture quality is also inseparable from the cooperation of hardware manufacturers. Many manufacturers of TVs, computer monitors and mobile devices also offer products that support high-definition content.
The clarity of picture quality is even directly related to the retention of users and anchors.
According to the data analysis of the sound network, the retention time of users in the channel is 10.3% longer in high-definition picture quality than in standard-definition picture quality. High-definition images can make viewers more willing to stay on the platform and enhance user stickiness.
In addition, on the live broadcast platform, the picture quality not only affects the audience, but also affects the retention of the anchor. Poor picture quality may lead to the loss of excellent anchors, which in turn affects the competitiveness of the platform.
High-definition picture quality also provides the possibility for business model innovation. For example, in an e-commerce live broadcast, high-definition image quality can make the product display more realistic and vivid, thereby increasing the conversion rate.
"Under this background, real-time high-definition will be a very important link in real-time interaction in the future." Said Zhong Sheng, CTO and chief scientist of Shengwang.
AI adds wings to real-time HD
In fact, as early as around 2020, new technologies such as AI, 5G commercial use, and cloud computing have been integrated and developed in the field of ultra-high-definition video.
Artificial intelligence has also accelerated the development of ultra-high-definition video, and the fusion application of ultra-high-definition video and artificial intelligence is rapidly increasing.
In the past two years, ultra-high-definition video technology has also provided an important boost to the non-contact economic development represented by telemedicine, distance education, and security monitoring.
So far, AI's empowerment of ultra-high-definition video is embodied in the following aspects:
Smart compression . AI can identify and retain important information in the video through deep learning algorithms, while compressing less important parts. This reduces file size while maintaining image quality, allowing for more efficient transfers.
Optimize the transmission path . Through AI prediction and analysis, the optimal transmission path can be intelligently selected, thereby reducing delay and packet loss, and ensuring smooth transmission of real-time high-definition video.
Super-resolution technology . AI can reconstruct low-resolution images by learning known high-definition images, so as to achieve super-resolution effects and significantly improve image quality.
Noise reduction and brightening . AI can automatically identify and eliminate the noise in the video, or brighten the details of the dark part, so that the picture quality is clearer and more vivid.
Smart encoding and decoding . Through AI-driven intelligent encoding and decoding technology, the video quality can be dynamically adjusted according to network conditions and device capabilities, ensuring the best viewing experience in various situations.
Personalize the experience . AI can intelligently adjust the picture quality, resolution and traffic consumption according to the user's habits and preferences, and provide personalized high-definition experience for different users.
Virtual reality and augmented reality applications . Through the image recognition and rendering capabilities of AI, real-time high-definition video can be seamlessly combined with virtual reality (VR) and augmented reality (AR) to bring users an immersive experience.
In fact, in the era of real-time interaction, there are two core requirements, one is transmission, and the other is image quality, and these are also the starting points for the AI-enabled industry.
With the help of AI, real-time interactive scenes, mainly show live broadcasts, e-commerce live broadcasts, and event live broadcasts, are ushering in the ultra-high-definition era.
Real-time interaction is as ubiquitous as air and water
At this stage, driven by AI, the domestic real-time audio (RTC) track has also ushered in a new round of development.
It is reported that real-time audio and video track players are mainly divided into two categories:
The first is to provide general Paas layer capabilities, including RTC Paas vendors, communication cloud Paas vendors, and comprehensive Iaas vendors. Among them, RTC Paas manufacturers have a higher degree of industry focus in technology research and development and product polishing, occupying a dominant position in the market.
The second is rooted in specific industry scenarios, mainly for vertical industry solution providers.
Recently, Shengwang, a global real-time interactive cloud service RTE-Paas service provider, officially released a solution for real-time video scenarios that focuses on improving video quality and user experience, helping developers and enterprises achieve video quality, user experience and A comprehensive upgrade of the interactive gameplay.
SoundNet comprehensively upgrades the picture quality, experience, and gameplay from three aspects: clarity, aesthetics, and fluency, especially for live shows, e-commerce live broadcasts, event live broadcasts, multi-person screens, cross-room PK and other scenarios, leading the real-time Interactive into the high-definition era.
According to Zhong Sheng, the presentation of real-time high-definition is firstly based on the pre-processing of visual perception, such as dark light and noise improvement, AI visual perception processing, and then through multi-format video coding and weak network confrontation, video adaptive distribution (low-code high-definition, dynamic transmission path planning), and finally post-processing based on visual perception.
"SoundNet's AI reasoning engine is the cornerstone of realizing real-time high-definition."
Qin Zexiong, director of research and development of the sound network, said that in the pre-processing stage, AI perception processing based on deep learning can bring about a 30% increase in video compression efficiency .
In the encoding stage, real-time high-definition super picture quality adopts H.265 high-efficiency encoder. H.265 uses advanced technology to improve the relationship between bit stream, encoding quality, delay and algorithm complexity, and can Transmission of higher-quality network video, the image quality of H.265 at the same bit rate is significantly better than that of H.264.
In the transmission stage, Acoustics adopts an adaptive elastic transmission algorithm to adapt to different network environments , and the receiver can adaptively accept the content of the corresponding level according to the downlink bandwidth.
In the post-processing stage, SoundNet repairs and enhances the high-definition image quality based on deep learning . Without changing the resolution, it intelligently adjusts the sharpness and contrast of the image quality to make the image quality better and improve the user's subjective experience.
In addition, in terms of AI algorithm low consumption, Acoustic Network has also made adjustments, so that the low-end machine algorithm is automatically downgraded, each module of the link is automatically negotiated, unified scheduling is not redundant, and the hardware modules are fully enabled.
"What we hope to achieve is to make real-time interaction as ubiquitous as air and water." Qin Zexiong said.
epilogue
Audio and video have become an important part of modern society, and the demand for high-definition image quality has therefore become more urgent than ever.
AVON's real-time HD super picture quality solution demonstrates how to meet this demand through technological innovation, which not only provides users with a better viewing experience, but also sets a new standard for the industry.
In the future, with the continuous evolution of AI and other advanced technologies, we have reason to expect that the audio and video industry will continue to develop in a smarter, more efficient, and more personalized direction.
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