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Video Optimization

YouTube New Video Thumbnails with Deep Neural Networks (DNNs)

A video thumbnail plays an important role for a video to get good exposure and attention from the audience. The thumbnail provides the first impression on the viewer on Video. So, the thumbnail must be attractive and relevant to your video in order to get succeed. Today, there is a great advance in the Deep neural networks which can classifies the video and image even more better in order to generate the YouTube Thumbnails to showcase the content to the viewers on the platform.


During a video upload, the sample frames are evaluated one by one and get assigned basing the sizes and the ration aspect. The quality model is generated with new algorithm version which works with the deep neural nets. So, the users can be allowed to select their best thumbnail on the YouTube platform for their video by choose the better from the generated options by algorithm.


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The quality model generated by the deep neural nets can be more efficient than the previous algorithm generated on the YouTube platform. Now the quality model which was powered by the deep neural nets can have the ability to select the frames with high quality which can help the creators to acquire good results for their videos on YouTube platform. The thumbnails can be generated basing on the video elements and the quality frame which is most attractive in your video can be given as choices for the user to select among them with ease. This makes the user to get start with more videos much easier than before.

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