Human-Centered Content-Based Image Retrieval (2005)
Abstract / truncated to 115 words
Retrieval of images that lack a (suitable) annotations cannot be achieved through (traditional) Information Retrieval (IR) techniques. Access through such collections can be achieved through the application of computer vision techniques on the IR problem, which is baptized Content-Based Image Retrieval (CBIR). In contrast with most purely technological approaches, the thesis Human-Centered Content-Based Image Retrieval approaches the problem from a human/user centered perspective. Psychophysical experiments were conducted in which people were asked to categorize colors. The data gathered from these experiments was fed to a Fast Exact Euclidean Distance (FEED) transform (Schouten & Van den Broek, 2004), which enabled the segmentation of color space based on human perception (Van den Broek et al., 2008). This ...
content-based image retrieval – human-centered – psychophysics – color – texture – benchmark
Information
- Author
- van den Broek, Egon L.
- Institution
- Radboud University Nijmegen
- Supervisors
- Publication Year
- 2005
- Upload Date
- July 10, 2009
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