Invention Grant
- Patent Title: End-to-end neural network based video coding
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Application No.: US17182686Application Date: 2021-02-23
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Publication No.: US11477464B2Publication Date: 2022-10-18
- Inventor: Muhammed Zeyd Coban , Ankitesh Kumar Singh , Hilmi Enes Egilmez , 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: H04N19/186
- IPC: H04N19/186 ; G06N3/04 ; H04N19/90 ; H04N19/172

Abstract:
Systems and 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 a combined representation of the frame by combining 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. The process can include generating encoded video data based on the combined representation of the frame.
Public/Granted literature
- US20220086463A1 END-TO-END NEURAL NETWORK BASED VIDEO CODING Public/Granted day:2022-03-17
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