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US 12,382,051 B2Granted
Advanced maximal entropy media compression processing
AssigneeZON Global IP Inc.
InventorsAndrew Denis, Harry Howard Wills, Jr.
Life of this patent
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Abstract
A system and method for compression performs analysis of incoming audio or video data, and selects a manifold based on the analysis of the data. A deep learning model is then trained for the manifold. The data is broken down into components and entropy maximization algorithms are utilized for each component before compression commences. Finally, the system translates the compressed data into a standard file format.
Claims11
A method for compressing media content, comprising:
- performing multi-faceted analysis on input media, including spectral analysis, statistical analysis, perceptual analysis, and temporal-spatial correlation analysis;
- selecting and optimizing a dimensional manifold based on results of the multi-faceted analysis;
- training a deep learning model to map between an original media space and the selected dimensional manifold;
- applying entropy maximization techniques to a representation of the selected dimensional manifold;
- compressing the media content using the trained deep learning model and entropy-maximized manifold;
- and
- encoding the compressed media content into a standard format container while maintaining compatibility with existing media ecosystems.
4 more elements
A method for compressing media content, comprising:
- performing multi-faceted analysis on input media, including spectral analysis, statistical analysis, perceptual analysis, and temporal-spatial correlation analysis;
- selecting and optimizing a dimensional manifold based on results of the multi-faceted analysis;
- training a deep learning model to map between an original media space and the selected dimensional manifold;
- computing Shannon entropy for each dimension or feature in the representation of the selected dimensional manifold;
- applying Independent Component Analysis (ICA) to separate statistically independent components;
- implementing the Principle of Maximum Entropy to optimize distribution of information across the selected dimensional manifold;
- developing an adaptive quantization scheme that allocates more bits to high-entropy components;
- and
- compressing the media content using the trained deep learning model and entropy-maximized manifold.
6 more elements
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