A review on content-based image retrieval representation and description for fish

Citation

Osman, Noorul Shuhadah and Mustaffa, Mas Rina (2015) A review on content-based image retrieval representation and description for fish. In: 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2015), 8-10 Dec. 2015, Kuala Lumpur, Malaysia. (pp. 39-44).

Abstract

There is an increasing interest in the description and representation of fish species images. For that purpose, Content-based Image Retrieval (CBIR) is applied. Due to the uncontrolled deep sea underwater environment, it is very hard to accurately estimate the similarities between the fishes and retrieves them according to its species due to ineffective visual features extraction for fish image representation. In this paper, CBIR for representation and description of fish is reviewed. Shape is one of the most important features to describe fish. This paper considers the combination of global and local shape features. Existing combination is carefully studied and the importances of global and local shape features are presented. The focus of possible future works is also suggested.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ACSAT.2015.15
Publisher:	IEEE
Keywords:	Content-based image retrieval; Feature extraction; Fish; Global feature; Local feature; Shape
Depositing User:	Nabilah Mustapa
Date Deposited:	16 Jan 2018 04:47
Last Modified:	16 Jan 2018 04:47
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ACSAT.2015.15
URI:	http://psasir.upm.edu.my/id/eprint/58412
Statistic Details:	View Download Statistic

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