Invention Grant
- Patent Title: Deep learning based quantization parameter estimation for video encoding
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Application No.: US15794938Application Date: 2017-10-26
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Publication No.: US10721471B2Publication Date: 2020-07-21
- Inventor: Ximin Zhang , Bin Zhu , Sang-Hee Lee , Qing Li
- 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: H04N19/124
- IPC: H04N19/124 ; H04N19/167 ; G06N3/04 ; H04N19/184 ; G06N3/10 ; H04N19/59 ; G06N3/08 ; H04N19/159 ; H04N19/172 ; H04N19/136 ; G06N20/20 ; G06N5/00

Abstract:
Techniques related to quantization parameter estimation for video coding are discussed. Such techniques may include generating features using a picture of input video received for encoding and applying a neural network to a feature vector including the features, a target bitrate, and a resolution of the picture to generate an estimated quantization parameter for encoding the picture.
Public/Granted literature
- US20190132591A1 DEEP LEARNING BASED QUANTIZATION PARAMETER ESTIMATION FOR VIDEO ENCODING Public/Granted day:2019-05-02
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