Author: Zhu, Xi
Title: Image retrieval base on deep learning
Degree: M.Sc.
Year: 2020
Subject: Image processing -- Digital techniques
Database searching
Neural networks (Computer science)
Hong Kong Polytechnic University -- Dissertations
Department: Department of Computing
Pages: [54] pages : color illustrations
Language: English
Abstract: Image Retrieval is an important part of retrieval research area, there are lots of traditional algorithms like SIFT, VLAD. However, these traditional algorithms contain some problems. We use CNN deep neural network based algorithm as feature extractor to improve the accuracy of image retrieval, which performs better than traditional algorithms. We use datasets from Tekuchi company and use phone photos to retrieve the image in the database. In the retrieval experiment we got 95% accurate rate when giving 1 retrieve result and 99% accurate rate when giving 5 retrieve result.
Rights: All rights reserved
Access: restricted access

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