AI video cloud: a good wife in the era of we media

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video , It is usually a piece of information transmission content composed of moving pictures . In this age of information explosion , We have to look for the information we need in the vast ocean of content every day . Whether a video is attractive or not, the content is certainly the most important , But whether the playback is smooth , The influence of clear picture quality should not be underestimated .

In order to make the video achieve the best effect in the hands of every viewer , Developed a lot of Technology , For example, narrowband HD 、 transcoding 、 Compression and so on . But too much technology can also make it difficult to choose , At this time, we can't help thinking about whether there is an intelligent way to help us adjust . Cloud again AI The video cloud function can just meet your needs .

What is? AI Video cloud

AI Video cloud is to integrate the video cloud into customer needs through AI Part of the technical implementation , Add new services generated by relevant technologies .

Video cloud is a kind of video streaming media service based on the concept of cloud computing technology , Take video as “ Cloud ” towards “ terminal ” Present processing results , It usually includes cloud storage 、 Cloud transcoding 、 Cloud live 、 Cloud encryption 、 Cloud publishing and other functions . The goal is to allow customers to 、 Efficient way to build professional video system .

And add... To the video cloud AI technology , Can make video no longer just the carrier of content , Let users know the content of the video 、 retrieval 、 Personalized recommendation 、 And so on, there are greater choices and convenience in personalized settings .

AI What can video cloud do

Generally speaking, the whole video needs to go through the acquisition terminal from production to playback 、 Server side 、 Three ports at the playback end . Among them, we need to code at the acquisition end 、 Rendering , Different hardware will be used here, which has the compatibility of hardware devices 、 Performance and cross platform issues . On the server side, we will encounter the inevitable processing capacity requirements of codec , The player cannot guarantee the playback effect of the final content on the terminal due to the problems of the operator .

AI The unique full life cycle service mode of video cloud can solve the problem of video production in one stop 、 Storage 、 Handle 、 Distribute requirements ：

• Cloud production ： Provide video recording 、 edit 、 Play , Make video output faster .
• Cloud storage ： One click upload , Stable and fast , Reduce local management costs , Avoid the trouble of data migration and storage .
• Cloud processing ： Various video technologies can be accessed and used immediately , There is no need for self built services and self-developed functions , Greatly reduce development costs .
• Cloud distribution ： Stay away from response problems caused by operator differences , Make the video promotion wider .

Besides AI The biggest feature of video cloud is “ intelligence ”. Through the combination of new computing power ecology 、 Edge computing and low power consumption AI Cutting edge technologies such as video chips . Use massive big data to AI Keep training , Give Way AI Form the ability of video understanding and video structured analysis of specific scenes . from AI Carry out the rapid extraction and construction of effective information , Thus reducing manpower 、 material resources 、 The loss of time .

And it is “ intelligence ” This feature makes AI Video cloud can do the following ：

• Compression intelligence ：AI Automatically optimize with the algorithm to improve the compression quality , No manual recompression is required .
• Transcoding intelligence ： The algorithm selects the optimal transcoding strategy according to different video features , It is no longer necessary to set transcoding parameters manually .
• Distribute smart ：AI Automatic judgment CDN distribution URL, There is no need for the user to manually switch the video address before and after compression .

AI The prospect of video cloud

According to the analysis, it is estimated that 2019 In, the demand for video in the Chinese market reached 10 billion . even to the extent that 2019 year 2 month , The Ministry of industry and information technology and the State Administration of radio and television 、 CCTV also printed and distributed 《 Uhd video industry development action plan （2019-2022 year ）》, This means that the video industry has ushered in greater development .

The trend of video processing technology is the same , So how to improve efficiency and reduce costs is particularly important .AI Video cloud undoubtedly does this , It can help us better experience the new changes brought by technology . To beat the clouds again AI Video cloud, for example , In terms of distribution intelligence, we can count and analyze the high-frequency hot videos according to the internal log URL, Carry out active intelligent compression on the video , And actively distribute the compressed video to each station CDN node . When subsequent users access the video , The compressed cache node will be accessed automatically . This makes video requests faster , Effectively improve the efficiency of promotion and publicity . At the same time, because the video is intelligently compressed , Reduced bandwidth traffic , It can also effectively reduce the cost of bandwidth .

and AI Video cloud can do more than that , Whether at the algorithm level, it is constantly optimized AI Encoding and decoding capabilities 、 Or use the fast and simple access method in the experience ,AI Video cloud will become a reliable choice .

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