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US Patent 10965948 Hierarchical auto-regressive image compression system

Patent 10965948 was granted and assigned to Amazon on March, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
109659480
Patent Inventor Names
Yash Patel0
R. Manmatha0
Srikar Appalaraju0
Date of Patent
March 30, 2021
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Patent Application Number
167139100
Date Filed
December 13, 2019
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Patent Citations
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US Patent 10341670 Video encoder bit rate stabilization
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US Patent 10264265 Compression encoding of images
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Patent Citations Received
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US Patent 12095994 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 12015776 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 12022077 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 12028525 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 12075053 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 12081759 Image compression and decoding, video compression and decoding: methods and systems
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US Patent 11532104 Method and data processing system for lossy image or video encoding, transmission and decoding
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US Patent 11764806 Data compression system and method of using
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Patent Primary Examiner
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Chikaodili E Anyikire
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Patent abstract

The present application relates to a multi-stage encoder/decoder system that provides image compression using hierarchical auto-regressive models and saliency-based masks. The multi-stage encoder/decoder system includes a first stage and a second stage of a trained image compression network, such that the second stage, based on the image compression performed by the first stage, identify certain redundancies that can be removed from the bit string to reduce the storage and bandwidth requirements. Additionally, by using saliency-based masks, distortions in different sections of the image can be weighted differently to further improve the image compression performance.

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