Content-based image indexing and retrieval : feature extraction and feature similarity metrics
Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. Thi...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3249 |
| _version_ | 1826115705305563136 |
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| author | Wang, Chang Liang |
| author2 | Chan, Kap Luk |
| author_facet | Chan, Kap Luk Wang, Chang Liang |
| author_sort | Wang, Chang Liang |
| collection | NTU |
| description | Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. This the-sis focuses on two areas: feature extraction and feature similarity metrics. Feature extraction is based on multiresolution analysis of images. Feature similarity is based on several new similarity metrics developed or adopted in this work, namely the two-level similarity metric, Nearest Feature Line distance and its extension. |
| first_indexed | 2024-10-01T03:59:32Z |
| format | Thesis |
| id | ntu-10356/3249 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T03:59:32Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/32492023-07-04T15:10:20Z Content-based image indexing and retrieval : feature extraction and feature similarity metrics Wang, Chang Liang Chan, Kap Luk School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Content-based image retrieval is emerging as a significant research area with application to digital libraries and multimedia databases. This thesis presents the development of a content-based image indexing and retrieval system and methodologies studied and investigated through the development. This the-sis focuses on two areas: feature extraction and feature similarity metrics. Feature extraction is based on multiresolution analysis of images. Feature similarity is based on several new similarity metrics developed or adopted in this work, namely the two-level similarity metric, Nearest Feature Line distance and its extension. Master of Engineering 2008-09-17T09:25:32Z 2008-09-17T09:25:32Z 2000 2000 Thesis http://hdl.handle.net/10356/3249 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Chang Liang Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title | Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title_full | Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title_fullStr | Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title_full_unstemmed | Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title_short | Content-based image indexing and retrieval : feature extraction and feature similarity metrics |
| title_sort | content based image indexing and retrieval feature extraction and feature similarity metrics |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/3249 |
| work_keys_str_mv | AT wangchangliang contentbasedimageindexingandretrievalfeatureextractionandfeaturesimilaritymetrics |