Feature Extraction for ContentBased Image Retrieval Using a PreTrained Deep Convolutional Neural Network
This thesis examines the performance of features, extracted from a pre-trained deep convolutional neural network, for content-based image retrieval in images of news articles. The industry constantly awaits improved methods for image retrieval, including the company hosting this research project, wh...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-274340 |