Content-based image retrieval algorithms for marine species
Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that needs to be properly documented. Responding to these important needs, this research is focused towards developing content-based...
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2016
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my-mmu-ep.63382016-06-09T08:31:26Z Content-based image retrieval algorithms for marine species 2016-04 Ahsan Raza, Sheikh ZA4550-4575 Motion pictures. Video recordings Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that needs to be properly documented. Responding to these important needs, this research is focused towards developing content-based image retrieval (CBIR) for Marine Life Images in Malaysia. This is a challenging task since the images are taken from different viewpoints, blur images and the fact that marine species do not possess consistent colour, shape and texture appearance. There are two main objectives of this study. The first objective is to investigate useful image descriptors for marine species and propose enhancement to improve the accuracy. The second objective is to develop an efficient content-based image retrieval system for marine life images. 2016-04 Thesis http://shdl.mmu.edu.my/6338/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Computing and Informatics |
| institution |
Multimedia University |
| collection |
MMU Institutional Repository |
| topic |
ZA4550-4575 Motion pictures Video recordings |
| spellingShingle |
ZA4550-4575 Motion pictures Video recordings Ahsan Raza, Sheikh Content-based image retrieval algorithms for marine species |
| description |
Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that needs to be properly documented. Responding to these important needs, this research is focused towards developing content-based image retrieval (CBIR) for Marine Life Images in Malaysia. This is a challenging task since the images are taken from different viewpoints, blur images and the fact that marine species do not possess consistent colour, shape and texture appearance. There are two main objectives of this study. The first objective is to investigate useful image descriptors for marine species and propose enhancement to improve the accuracy. The second objective is to develop an efficient content-based image retrieval system for marine life images. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Ahsan Raza, Sheikh |
| author_facet |
Ahsan Raza, Sheikh |
| author_sort |
Ahsan Raza, Sheikh |
| title |
Content-based image retrieval algorithms for marine species |
| title_short |
Content-based image retrieval algorithms for marine species |
| title_full |
Content-based image retrieval algorithms for marine species |
| title_fullStr |
Content-based image retrieval algorithms for marine species |
| title_full_unstemmed |
Content-based image retrieval algorithms for marine species |
| title_sort |
content-based image retrieval algorithms for marine species |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Computing and Informatics |
| publishDate |
2016 |
| _version_ |
1747829632144506880 |