Invention Application
- Patent Title: MACHINE LEARNING BASED FLOW DETERMINATION FOR VIDEO CODING
-
Application No.: US17676510Application Date: 2022-02-21
-
Publication No.: US20220272355A1Publication Date: 2022-08-25
- Inventor: Ankitesh Kumar SINGH , Hilmi Enes EGILMEZ , 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
- Main IPC: H04N19/139
- IPC: H04N19/139 ; H04N19/186 ; H04N5/232 ; H04N19/172

Abstract:
Systems and techniques are described herein for processing video data. In some aspects, a method can include obtain, by a machine learning system, input video data. The input video data includes one or more luminance components for a current frame. The method can include determining, by the machine learning system, motion information for the luminance component(s) of the current frame and motion information for one or more chrominance components of the current frame using the luminance component(s) for the current frame. In some cases, the method can include determining the motion information for the luminance component(s) based on the luma component(s) of the current frame and at least one reconstructed luma component of a previous frame. In some cases, the method can further include determining the motion information for the chrominance component(s) of the current frame using the motion information determined for the luminance component(s) of the current frame.
Public/Granted literature
- US12003734B2 Machine learning based flow determination for video coding Public/Granted day:2024-06-04
Information query