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Lossless compression of a content item using a neural network trained on content item cohorts
Lossless compression of a content item using a neural network trained on content item cohorts
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机译:使用在内容项目队列中训练的神经网络对内容项目进行无损压缩
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摘要
Lossless compression of a content item using a neural network trained on content item cohorts. A computing system includes a neural network that is used to train a plurality of symbol prediction models. Each symbol prediction model is trained based on a corresponding cohort of content items. A particular symbol prediction model of the models trained is selected based on an intrinsic characteristic of a particular content item to be losslessly compressed such as, for example, the type or file extension of the content item. The content item is then losslessly compressed based on a set of symbol predictions fed to an arithmetic coder that are generated using the particular symbol prediction model selected.
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