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Type: Artigo de periódico
Title: SuperIDR: A Tool for Fish Identification and Information Retrieval
Author: Murthy, U
Fox, EA
Chen, YL
Hallerman, EM
Orth, DJ
Torres, RD
Li, LT
Kozievitch, NP
Andrade, FSP
Falcao, TRC
Ramos, E
Abstract: Students, fisheries professionals, and the general public may value computer-facilitated assistance for fish identification and access to ecological and life history information. We developed SuperIDR, a software package supporting such applications, by utilizing the search and data retrieval capabilities of digital libraries, as well as key features of tablet PCs. We demonstrated SuperIDR utilizing a database with information on 207 freshwater fishes of Virginia. A user may annotate fish images and identify fishes by using a dichotomous key; searching for key words, similar images, subimages, or annotations on images; or combinations of these approaches. Students using the software demonstrated enhanced ability to correctly identify specimens. Their comments led to improvements, including the addition of new features. The PC-based system for identifying freshwater fishes of Virginia may be downloaded and modified. SuperIDR is a prototype for PC-based species identification applications-the system architecture and the open-source software that we developed are applicable to other fish faunas and to a broader range of species identification tasks.
Country: EUA
Editor: Taylor & Francis Inc
Rights: fechado
Identifier DOI: 10.1080/03632415.2013.757982
Date Issue: 2013
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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