Invention Grant
- Patent Title: Cascaded prediction-transform approach for mixed machine-human targeted video coding
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Application No.: US17137609Application Date: 2020-12-30
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Publication No.: US11575938B2Publication Date: 2023-02-07
- Inventor: Hamed Rezazadegan Tavakoli , Francesco Cricri , Miska Matias Hannuksela , Emre Baris Aksu , Honglei Zhang , Nam Le
- Applicant: Nokia Technologies Oy
- Applicant Address: FI Espoo
- Assignee: Nokia Technologies Oy
- Current Assignee: Nokia Technologies Oy
- Current Assignee Address: FI Espoo
- Agency: Harrington & Smith
- Main IPC: H04N19/124
- IPC: H04N19/124 ; H04N19/61 ; H04N19/192 ; H04N19/176 ; H04N19/134

Abstract:
Data may be encoded to minimize distortion after decoding, but the quality required for presentation of the decoded data to a machine and the quality required for presentation to a human may be different. To accommodate different quality requirements, video data may be encoded to produce a first set of encoded data and a second set of encoded data, where the first set may be decoded for use by one of a machine consumer or a human consumer, and a combination of the first set and the second set may be decoded for use by the other of a machine consumer or a human consumer. The first and second set may be produced with a neural encoder and a neural decoder, and/or may be produced with the use of prediction and transform neural network modules. A human-targeted structure and a machine-targeted structure may produce the sets of encoded data.
Public/Granted literature
- US20210218997A1 Cascaded Prediction-Transform Approach for Mixed Machine-Human Targeted Video Coding Public/Granted day:2021-07-15
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