发明名称 |
DEVICES, SYSTEMS, AND METHODS FOR LEARNING A DISCRIMINANT IMAGE REPRESENTATION |
摘要 |
Systems, devices, and methods for generating an image representation obtain a set of low-level features from an image; generate a high-dimensional generative representation of the low-level features; generate a lower-dimensional representation of the low-level features based on the high-dimensional generative representation of the low-level features; generate classifier scores based on classifiers and on one or more of the high-dimensional generative representation and the lower-dimensional representation, wherein each classifier uses the one or more of the high-dimensional generative representation and the lower-dimensional representation as an input, and wherein each classifier is associated with a respective label; and generate a combined representation for the image based on the classifier scores and the lower-dimensional representation. |
申请公布号 |
US2015131899(A1) |
申请公布日期 |
2015.05.14 |
申请号 |
US201314079560 |
申请日期 |
2013.11.13 |
申请人 |
CANON KABUSHIKI KAISHA |
发明人 |
Lu Juwei;Dusberger Daruisz T.;Denney Bradley Scott |
分类号 |
G06K9/62 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
obtaining a set of low-level features from an image; generating a high-dimensional generative representation of the image based on the low-level features; generating a lower-dimensional representation of the image based on the high-dimensional generative representation of the image; generating classifier scores based on classifiers and on one or more of the high-dimensional generative representation and the lower-dimensional representation, wherein each classifier uses the one or more of the high-dimensional generative representation and the lower-dimensional representation as an input, and wherein each classifier is associated with a respective category; and generating a combined representation for the image based on the classifier scores and the lower-dimensional representation. |
地址 |
Tokyo JP |