Invention Grant
- Patent Title: Video codec assisted real-time video enhancement using deep learning
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Application No.: US16914083Application Date: 2020-06-26
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Publication No.: US11889096B2Publication Date: 2024-01-30
- Inventor: Chen Wang , Ximin Zhang , Huan Dou , Yi-Jen Chiu , Sang-Hee Lee
- Applicant: INTEL CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Essential Patents Group, LLP
- Main IPC: G06T9/00
- IPC: G06T9/00 ; G06T3/40 ; H04N19/44 ; H04N19/30 ; G06N3/08 ; H04N19/159 ; H04N19/184 ; H04N19/176 ; H04N19/132 ; G06F18/25 ; G06V10/82

Abstract:
Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.
Public/Granted literature
- US20200327702A1 VIDEO CODEC ASSISTED REAL-TIME VIDEO ENHANCEMENT USING DEEP LEARNING Public/Granted day:2020-10-15
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