EcoPod: a mobile tool for community based biodiversity collection building
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Automatic species identification of live moths
Knowledge-Based Systems
Living Memory Annotation Tool --- Image Annotations for Digital Libraries
ECDL '07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
SIERRA – a superimposed application for enhanced image description and retrieval
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
A teaching tool for parasitology: enhancing learning with annotation and image retrieval
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Use of subimages in fish species identification: a qualitative study
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Formal foundations for systematic digital library generation
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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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.