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US Patent 11310509 Method and apparatus for applying deep learning techniques in video coding, restoration and video quality analysis (VQA)

Patent 11310509 was granted and assigned to Fastvdo Llc on April, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Fastvdo Llc
Fastvdo Llc
Current Assignee
Fastvdo Llc
Fastvdo Llc
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11310509
Date of Patent
April 19, 2022
Patent Application Number
17119981
Date Filed
December 11, 2020
Patent Citations
‌
US Patent 10225607 Video processing apparatus and video processing method thereof
Patent Citations Received
‌
US Patent 11481608 Method and apparatus with neural network parameter quantization
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US Patent 12075053 Image compression and decoding, video compression and decoding: methods and systems
0
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US Patent 12081759 Image compression and decoding, video compression and decoding: methods and systems
0
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US Patent 12095994 Image compression and decoding, video compression and decoding: methods and systems
0
Patent Primary Examiner
‌
Fernando Alcon
CPC Code
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G06T 7/0002
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G06T 9/002
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G06T 3/4046
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G06T 2207/20084
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G06T 2207/20081
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G06N 3/08
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H04N 19/154
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H04N 21/2343
...

Video quality analysis may be used in many multimedia transmission and communication applications, such as encoder optimization, stream selection, and/or video reconstruction. An objective VQA metric that accurately reflects the quality of processed video relative to a source unprocessed video may take into account both spatial measures and temporal, motion-based measures when evaluating the processed video. Temporal measures may include differential motion metrics indicating a difference between a frame difference of a plurality of frames of the processed video relative to that of a corresponding plurality of frames of the source video. In addition, neural networks and deep learning techniques can be used to develop additional improved VQA metrics that take into account both spatial and temporal aspects of the processed and unprocessed videos.

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