Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.creator | Zhu, Xi | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11368 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Image retrieval base on deep learning | en_US |
| dcterms.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. | en_US |
| dcterms.extent | [54] pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2020 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Image processing -- Digital techniques | en_US |
| dcterms.LCSH | Database searching | en_US |
| dcterms.LCSH | Neural networks (Computer science) | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
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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