Invention Grant
- Patent Title: Content, psychovisual, region of interest, and persistence based adaptive quantization for video coding
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Application No.: US15628961Application Date: 2017-06-21
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Publication No.: US10469854B2Publication Date: 2019-11-05
- Inventor: Neelesh N. Gokhale , Atul Puri , Chang Kee Choi
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Green, Howard, & Mughal LLP.
- Main IPC: G06K9/46
- IPC: G06K9/46 ; H04N19/19 ; H04N19/167 ; H04N19/124 ; H04N19/14 ; H04N19/18 ; H04N19/159 ; H04N19/176 ; H04N19/147 ; H04N19/132 ; H04N19/136 ; H04N19/137 ; H04N19/154 ; H04N19/177 ; H04N19/645

Abstract:
Techniques related to improved video encoding including content, psychovisual, region of interest, and persistence based adaptive quantization are discussed. Such techniques may include generating block level rate distortion optimization Lagrange multipliers and block level quantization parameters for blocks of a picture to be encoded and determining coding parameters for the blocks based on a rate distortion optimization using the Lagrange multipliers and quantization parameters.
Public/Granted literature
- US20180376153A1 CONTENT, PSYCHOVISUAL, REGION OF INTEREST, AND PERSISTENCE BASED ADAPTIVE QUANTIZATION FOR VIDEO CODING Public/Granted day:2018-12-27
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