SuperIDR: A Tool for Fish Identification and Information Retrieval

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 syste...

[1]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[2]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.

[3]  B. Glaser Theoretical Sensitivity: Advances in the Methodology of Grounded Theory , 1978 .

[4]  Lois M. L. Delcambre,et al.  Use of subimages in fish species identification: a qualitative study , 2011, JCDL '11.

[5]  Andreas Paepcke,et al.  EcoPod: a mobile tool for community based biodiversity collection building , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

[6]  Syin Chan,et al.  Query Expansion by Text and Image Features in Image Retrieval , 1998, J. Vis. Commun. Image Represent..

[7]  J. M. Matías,et al.  IPez: An expert system for the taxonomic identification of fishes based on machine learning techniques , 2010 .

[8]  John Lyons,et al.  A Photo-Based Computer System for Identifying Wisconsin Fishes , 2006 .

[9]  Anselm L. Strauss,et al.  Qualitative Analysis For Social Scientists , 1987 .

[10]  Edward A. Fox,et al.  Superimposed Image Description and Retrieval for Fish Species Identification , 2009, ECDL.

[11]  Edward A. Fox,et al.  A Teaching Tool for Parasitology: Enhancing Learning with Annotation and Image Retrieval , 2010, ECDL.

[12]  Edward A. Fox,et al.  International Journal on Digital Libraries manuscript No. (will be inserted by the editor) A Digital Library Framework for Biodiversity Information Systems , 2022 .

[13]  Ned DeLoach,et al.  Reef Fish Identification: Florida, Caribbean, Bahamas , 1996 .

[14]  M. O'Neill,et al.  Automated species identification: why not? , 2004, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[15]  Uma Murthy,et al.  Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information , 2011 .

[16]  N. Burkhead,et al.  Freshwater Fishes of Virginia , 1994 .