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19 May 1999Creating a Web-based image database for benchmarking image retrieval systems
There is, at present, a critical need within image retrieval research for an image testbed which would enable the objective evaluation of different content-based search engines, indexing and metadata schemes, and search heuristics, as well as research and evaluation in image- based knowledge structures and system architectures, user's needs in image retrieval and the cognitive processes involved in image searching. This paper discusses a pilot project specifying and establishing a prototype testbed for the evaluation of image retrieval techniques. A feasibility study is underway focusing on the development of a large set of standardized test images accessible through a web interface, and researchers in the field are being surveyed for input. Areas being addressed in the feasibility study include technical specifications as well as content issues such as: which specific image domains to include; the useful proportion of imags belonging to specific domains to images belonging to a general 'world' domain; types of image attributes and baseline and 'advanced' levels of image description needed, and research needs to be accommodated, as well as development of a standardized set of test queries and the establishment of methods for 'truthing' the database and test queries.
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Corinne Joergensen, Rohini K. Srihari, "Creating a Web-based image database for benchmarking image retrieval systems," Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348472