Invention Grant
- Patent Title: Video throughput improvement using long term referencing, deep learning, and load balancing
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Application No.: US16895232Application Date: 2020-06-08
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Publication No.: US11949858B2Publication Date: 2024-04-02
- Inventor: Aniket Anil Masule , Rajeshwar Kurapaty , Vikash Garodia
- 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
- Main IPC: H04N19/114
- IPC: H04N19/114 ; H04N19/139 ; H04N19/177

Abstract:
Methods, systems, and devices for improved video throughput using deep learning video coding are described. A device may receive a bitstream including a set of video frames. The device may batch the set of video frames into a first subset of video frames and a second subset of video frames based on a change in a reference scene associated with the set of video frames. The device may select a mode of operation for a neural processing unit of the device based on the batching. The device may generate a set of video packets including the first subset of video frames, the second subset of video frames, or both, based on the neural processing unit and the selected mode of operation.
Public/Granted literature
- US20210385443A1 VIDEO THROUGHPUT IMPROVEMENT USING LONG TERM REFERENCING, DEEP LEARNING, AND LOAD BALANCING Public/Granted day:2021-12-09
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