| Prediction of encoding bitrate for each CRF value using video features and deep learning | |
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| Author | |
| Abstract |
<p>In this paper, we quantify elements representing video features and we propose the bitrate prediction of compressed encoding video using deep learning. Particularly, to overcome disadvantage that we cannot predict bitrate of compression video by using Constant Rate Factor (CRF), we use deep learning. We can find element of video feature with relationship of bitrate when we compress the video, and we can confirm its possibility to find relationship through various deep learning techniques.</p> |
| Year of Publication |
2022
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| Conference Name |
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
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| Google Scholar | BibTeX | |