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Classification of Chroma Reconstruction Method by Machine Learning Method | IEEE Conference Publication | IEEE Xplore

Classification of Chroma Reconstruction Method by Machine Learning Method


Abstract:

In this paper, we propose a method to predict subsampling scheme by using the machine learning for the chroma reconstruction of screen content images (SCIs). We create a ...Show More

Abstract:

In this paper, we propose a method to predict subsampling scheme by using the machine learning for the chroma reconstruction of screen content images (SCIs). We create a feature matrix with thirty features, and use the classification learner, error-correcting output codes (ECOC) classifier for multiclass learning, to train the model. After testing through the model, we finally get the experimental data that shows us the correlation between the luma and chroma and the accuracy of the model. The accuracy of the model is up to 92%, which provides the decoder with an accurate subsampling scheme. Therefore, with the correct subsampling scheme, it allows the subsampled chroma to be reconstructed accurately.
Date of Conference: 28-30 September 2020
Date Added to IEEE Xplore: 23 November 2020
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Conference Location: Taoyuan, Taiwan

References

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