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The new “Music Sticker” that Facebook has allows you to watch and listen more vividly

 

“Facebook is going to have new service content! Facebook is expected to work with music content providers to provide new music content. Facebook hopes to make song content more exposed and play listening opportunities through its own platform services.”

 

The “Music Sticker” function, which was tested for specific users in September this year, has been officially opened to the public, allowing users to add music content to their personal limited time dynamics, photos or video content so that the video content can become More lively.

 

The music content will be provided by Facebook, users can use it all, or specify the clip to add photos, videos, or personal limited time dynamics.

After adding music content, the name of the music track and the author will be marked in the uploaded photos, videos, etc., and the user can further adjust the position of the music-related content or add more visual effects so that the image content can become more active.

 

 

In addition, this update also includes the ability to add music content to the profile introduction, allowing users to add music, songs that represent their own style, and even further link the album cover of the music content, as well as the corresponding singer photos.

Not surprisingly, this feature should also involve Facebook and music content providers in cooperation, and it is expected that the song content will have more exposure and play listening opportunities through the Facebook platform service.

The previously launched Lip Sync Live live K song function, in this update also officially joined the synchronous display lyrics function, allowing users to avoid forgetting words in the live broadcast process.

Mash-Digi  [reference source]

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Facebook has developed the technology that uses AI to determine image content.

Mash-Digi [reference]

“The Facebook team has now developed new technologies that can use images to identify the ingredients of food! If this technology gets more and more stable, in the future,  artificial intelligence and deep learning of judging pictures will become more efficient and accurate. Facebook can apply this technology to achieve the purpose of eliminating bad graphics!”

Facebook’s artificial intelligence research team FAIR said that it will be able to use the deep learning method to train the computer system to understand all kinds of food and recipe content. With this system, it can recognize a food image and immediately generate the corresponding recipe content.

After successfully generating the recipe, it means that the computer system will be able to further judge the food may include the affected components and the related calories according to the result, so that the user can know more quickly whether the food to be eaten causes the burden on the body, or let the hope Those who know how to cook the food can learn according to the recipe.

However, Facebook won’t offer this technology now. The reason is that although the technology of identification the food image can approximately getting the full recipe out, the result of artificial intelligence learning may still be inaccurate. Also, this technology is mainly focused on how to train computer systems to learn and let the computer system know more about the real world.

Allowing the computer system to correctly analyze the image content not only helps Facebook to be more efficient in content aggregation, but also more accurately pushes the appropriate content to the correct user. This will also affect the user’s viewing and adhesion, as well as the efficiency of advertising content exposure. In addition, it can effectively eliminate the bad content and fake news spread through the image. Therefore, the application of artificial intelligence technology will be strengthened. Facebook will become an important development project for more and more users and more and more complicated content.