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AssigneeAdobe Systems Incorporated
InventorsJianchao Yang, Guang Chen, Jonathan Brandt, Hailin Jin, Elya Shechtman, Aseem Omprakash Agarwala
Estimating the term…
A system may be configured as an image recognition machine that utilizes an image feature representation called local feature embedding (LFE). LFE enables generation of a feature vector that captures salient visual properties of an image to address both the fine-grained aspects and the coarse-grained aspects of recognizing a visual pattern depicted in the image. Configured to utilize image feature vectors with LFE, the system may implement a nearest class mean (NCM) classifier, as well as a scalable recognition algorithm with metric learning and max margin template selection. Accordingly, the system may be updated to accommodate new classes with very little added computational cost. This may have the effect of enabling the system to readily handle open-ended image classification problems.
A method comprising:
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A tangible machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
The non-transitory machine-readable storage medium of claim 19, wherein:
A system comprising:
The system of claim 21 further comprising:
Dependencies are inferred from the claim text.