Concept Extraction from Patent Images Based on Recursive Hybrid Classification
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Recently, the intellectual property and information retrieval communities have shown interest in patent image analysis, which could augment the current practices of patent search by image classification and concept extraction. This article presents an approach for concept extraction from patent images, which relies upon recursive hybrid text and visual-based classification. To evaluate this approach, we selected a dataset from the footwear domain.
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