Staff View: Content-based image retrieval system for marine invertebrates

Content-based image retrieval system for marine invertebrates

There are many marine life around the world where it is essential to have proper documentation for future records. Many information retrieval systems for marine science today require text input from user and can only be accessed online. Therefore, people who do not know the name of the marine specie...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mustaffa, Mas Rina, Mohd Norowi, Noris, Sim, May Yee
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/56022/1/Content-based%20image%20retrieval%20system%20for%20marine%20invertebrates.pdf http://psasir.upm.edu.my/id/eprint/56022/
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.upm.eprints.56022
record_format	eprints
spelling	my.upm.eprints.560222017-07-03T09:28:33Z http://psasir.upm.edu.my/id/eprint/56022/ Content-based image retrieval system for marine invertebrates Mustaffa, Mas Rina Mohd Norowi, Noris Sim, May Yee There are many marine life around the world where it is essential to have proper documentation for future records. Many information retrieval systems for marine science today require text input from user and can only be accessed online. Therefore, people who do not know the name of the marine species or do not have Internet access cannot search using the systems. Responding to this important need, this work aims to develop a Content-based Image Retrieval (CBIR) system for marine invertebrates based on colour and shape features. With the CBIR system for marine invertebrates, users can use the system to look for marine invertebrates' species instead of using traditional methods of searching such as using books and encyclopedias. Users can easily upload the image of marine invertebrate that they want to search into the system and the system will retrieve all the other similar images of marine invertebrates along with their description. All the system interface's buttons, icons and text were designed in a way where any user can easily understand and further learn to operate the system themselves. Based on the retrieval effectiveness experiment and questionnaire-based survey, the proposed CBIR system for marine invertebrates is shown to be effective, help users search similar images of marine invertebrates, provide concise information on marine invertebrate's species for learning purposes, and is reliable and user-friendly. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56022/1/Content-based%20image%20retrieval%20system%20for%20marine%20invertebrates.pdf Mustaffa, Mas Rina and Mohd Norowi, Noris and Sim, May Yee (2016) Content-based image retrieval system for marine invertebrates. In: 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP'16), 23-24 Aug. 2016, Hatten Hotel Melaka, Malaysia. (pp. 71-76). 10.1109/INFRKM.2016.7806338
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	There are many marine life around the world where it is essential to have proper documentation for future records. Many information retrieval systems for marine science today require text input from user and can only be accessed online. Therefore, people who do not know the name of the marine species or do not have Internet access cannot search using the systems. Responding to this important need, this work aims to develop a Content-based Image Retrieval (CBIR) system for marine invertebrates based on colour and shape features. With the CBIR system for marine invertebrates, users can use the system to look for marine invertebrates' species instead of using traditional methods of searching such as using books and encyclopedias. Users can easily upload the image of marine invertebrate that they want to search into the system and the system will retrieve all the other similar images of marine invertebrates along with their description. All the system interface's buttons, icons and text were designed in a way where any user can easily understand and further learn to operate the system themselves. Based on the retrieval effectiveness experiment and questionnaire-based survey, the proposed CBIR system for marine invertebrates is shown to be effective, help users search similar images of marine invertebrates, provide concise information on marine invertebrate's species for learning purposes, and is reliable and user-friendly.
format	Conference or Workshop Item
author	Mustaffa, Mas Rina Mohd Norowi, Noris Sim, May Yee
spellingShingle	Mustaffa, Mas Rina Mohd Norowi, Noris Sim, May Yee Content-based image retrieval system for marine invertebrates
author_facet	Mustaffa, Mas Rina Mohd Norowi, Noris Sim, May Yee
author_sort	Mustaffa, Mas Rina
title	Content-based image retrieval system for marine invertebrates
title_short	Content-based image retrieval system for marine invertebrates
title_full	Content-based image retrieval system for marine invertebrates
title_fullStr	Content-based image retrieval system for marine invertebrates
title_full_unstemmed	Content-based image retrieval system for marine invertebrates
title_sort	content-based image retrieval system for marine invertebrates
publisher	IEEE
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/56022/1/Content-based%20image%20retrieval%20system%20for%20marine%20invertebrates.pdf http://psasir.upm.edu.my/id/eprint/56022/
_version_	1643836067805134848
score	13.211869

Content-based image retrieval system for marine invertebrates

Similar Items