- 专利标题: Perceived media object quality prediction using adversarial annotations for training and multiple-algorithm scores as input
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申请号: US16875887申请日: 2020-05-15
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公开(公告)号: US11544562B2公开(公告)日: 2023-01-03
- 发明人: Thomas Sydney Austin Wallis , Luitpold Staudigl , Muhammad Bilal Javed , Pablo Barbachano , Mike Mueller
- 申请人: Amazon Technologies, Inc.
- 申请人地址: US WA Seattle
- 专利权人: Amazon Technologies, Inc.
- 当前专利权人: Amazon Technologies, Inc.
- 当前专利权人地址: US WA Seattle
- 代理机构: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- 代理商 Robert C. Kowert
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04 ; G06F30/27
摘要:
Respective labels indicative of compression-related quality degradation for a set of media object tuples which meet a divergence criterion are obtained; each tuple comprises a reference media object and a pair of corresponding compressed media object versions. Pairs of training records for a machine learning model are generated using the labeled media object tuples and multiple perceptual quality algorithms, with each training record comprising respective perceived quality degradation scores generated by each of the multiple algorithms for a given compressed media object of a tuple. A machine learning model is trained, using the record pairs, to predict quality degradation scores for compressed media objects.
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