Invention Publication
- Patent Title: LOW-LATENCY MACHINE LEARNING-BASED STEREO STREAMING
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Application No.: US18636126Application Date: 2024-04-15
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Publication No.: US20240364925A1Publication Date: 2024-10-31
- Inventor: Hoang Cong Minh LE , Qiqi HOU , Farzad FARHADZADEH , Amir SAID , Auke Joris WIGGERS , Guillaume Konrad SAUTIERE , Reza POURREZA
- 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: H04N19/597
- IPC: H04N19/597 ; H04N19/137 ; H04N19/436

Abstract:
Systems and techniques are described herein for processing video data. For example, a machine-learning based stereo video coding system can obtain video data including at least a right-view image of a right view of a scene and a left-view image of a left view of the scene. The machine-learning based stereo video coding system can compress the right-view image and the left-view image in parallel to generate a latent representation of the right-view image and the left-view image. The right-view image and the left-view image can be compressed in parallel based on inter-view information between the right-view image and the left-view image, determined using one or more parallel autoencoders.
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