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US Patent 11991392 Efficient context model computation design in transform coefficient coding

Patent 11991392 was granted and assigned to Google on May, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
0
Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119913920
Patent Inventor Names
Yaowu Xu0
Jingning Han0
Ching-Han Chiang0
Linfeng Zhang0
James Zern0
Date of Patent
May 21, 2024
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Patent Application Number
178667070
Date Filed
July 18, 2022
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Patent Citations
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US Patent 9264706 Bypass bins for reference index coding in video coding
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US Patent 9294769 Intra-prediction method using filtering, and apparatus using the method
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US Patent 9338449 Harmonized scan order for coding transform coefficients in video coding
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US Patent 9497472 Parallel context calculation in video coding
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US Patent 9538175 Context derivation for context-adaptive, multi-level significance coding
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US Patent 9544584 Method and apparatus for encoding/decoding video using bidirectional intra prediction
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US Patent 9544597 Hybrid transform in video encoding and decoding
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US Patent 9571860 Diagonal scan for parallel coding and decoding of significance map and transform coefficents
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Patent Primary Examiner
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Irfan Habib
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CPC Code
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H04N 19/129
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H04N 19/60
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Patent abstract

A transform type is obtained for decoding the transform block of transform coefficients. A template for entropy-decoding values related to the transform coefficients is selected based on the transform type. The template indicates, for a to-be-coded value, positions of already coded values. A context for selecting a probability distribution for entropy decoding a current value of the values is determined using the template. The current value is entropy decoded from a compressed bitstream using the probability distribution.

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