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Refereed Conference/Workshop Papers

U. Murthy, E. A. Fox, Y. Chen, E. Hallerman, R. da S. Torres, E. J. Ramos, T. R. C. Falcão. Superimposed Image Description and Retrieval for Fish Species Identification. 13th European Conference on Digital Libraries (ECDL) 2009: 285-296.
Abstract - Fish species identification is critical to the study of fish ecology and management of fisheries. Traditionally, dichotomous keys are used for fish identification. The keys consist of questions about the observed specimen. Answers to these questions lead to more questions till the reader identifies the specimen. However, such keys are incapable of adapting or changing to meet different fish identification approaches, and often do not focus upon distinguishing characteristics favored by many field ecologists and more user-friendly field guides. This makes learning to identify fish difficult for Ichthyology students. Students usually supplement the use of the key with other methods such as making personal notes, drawings, annotated fish images, and more recently, fish information websites, such as Fishbase. Although these approaches provide useful additional content, it is dispersed across heterogeneous sources and can be tedious to access. Also, most of the existing electronic tools have limited support to manage user created content, especially that related to parts of images such as markings on drawings and images and associated notes. We present SuperIDR, a superimposed image description and retrieval tool, developed to address some of these issues. It allows users to associate parts of images with text annotations. Later, they can retrieve images, parts of images, annotations, and image descriptions through text- and content-based image retrieval. We evaluated SuperIDR in an undergraduate Ichthyology class as an aid to fish species identification and found that the use of SuperIDR yielded a higher likelihood of success in species identification than using traditional methods, including the dichotomous key, fish web sites, notes, etc.
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Refereed Posters

U. Murthy, E. A. Fox, Y. Chen, E. Hallerman, R. da S. Torres, E. J. Ramos, T. R. C. Falcão. Species identification: fish images with CBIR and annotations. Joint International Conference on Digital Libraries (JCDL) 2009: 435-436.
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Demonstrations

N. P. Kozievitch, T. R. C. Falcão, and R. da S. Torres. A .Net Implementation of a Content-Based Image Search Component.In: V Sessão de Demos, 2008, Campinas. XXIII Simpósio Brasileiro de Banco de Dados, 2008.
Abstract - This work describes a .Net implementation of a content-based image search component, used for deployment and assessment of an image annotation and retrieval tool. It has been designed in a flexible and portable way, under the technology perspective, where different descriptors can beeasily configured for different contexts.
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Technical Reports

N. P. Kozievitch, R. da S. Torres, T. Falcão, E. Ramos, F. Andrade, S. M. Allegretti, M. T. Ueta, R. R. Madi, U. Murthy, E. A. Fox, Y. Chen, and E. Hallerman. Evaluation of a Tablet PC Image Annotation and Retrieval Tool in the Parasitology Domain. Institute of Computing, University of Campinas, IC-09-23, July 2009.
Abstract - The project Deployment and Assessment of an Image Annotation and Retrieval Tool has the objective of specifying and implementing an application for image support annotation and search (based on a textual and a visual description) in the biodiversity domain. This technical report presents the activities related to the use of the tablet PC tool in the parasitology domain at Unicamp. The objective of this tool is to help the comparison of morphological characteristics among different species. The report isdivided into activities accomplished, application setup and specific features, followed by experimental results and conclusion. Preliminary results showed that students regarded the tool as being very useful, contributing as an alternative learning approach.
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