Invention Grant
- Patent Title: Front-end architecture for neural network based video coding
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Application No.: US17643383Application Date: 2021-12-08
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Publication No.: US12231666B2Publication Date: 2025-02-18
- Inventor: Hilmi Enes Egilmez , Ankitesh Kumar Singh , Muhammed Zeyd Coban , Marta Karczewicz
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Polsinelli LLP
- Main IPC: H04N19/42
- IPC: H04N19/42 ; G06N3/048 ; H04N19/124 ; H04N19/172 ; H04N19/186 ; H04N19/91 ; G06N3/045

Abstract:
Techniques are described herein for processing video data using a neural network system. For instance, a process can include generating, by a first convolutional layer of an encoder sub-network of the neural network system, output values associated with a luminance channel of a frame. The process can include generating, by a second convolutional layer of the encoder sub-network, output values associated with at least one chrominance channel of the frame. The process can include generating, by a third convolutional layer based on the output values associated with the luminance channel of the frame and the output values associated with the at least one chrominance channel of the frame, a combined representation of the frame. The process can further include generating encoded video data based on the combined representation of the frame.
Public/Granted literature
- US20220191523A1 FRONT-END ARCHITECTURE FOR NEURAL NETWORK BASED VIDEO CODING Public/Granted day:2022-06-16
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