| 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5816.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.25 MB | Adobe PDF | View/Open |
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