Design Guidelines for a Content-Based Image Retrieval Color-Selection Interface
Autor: | Eggen, Berry, van den Broek, Egon, van der Veer, Gerrit C., Kisters, Peter M.F., Willems, Rob, Vuurpijl, Louis G. |
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Jazyk: | angličtina |
Rok vydání: | 2004 |
Předmět: |
HMI-HF: Human Factors
Design 020205 medical informatics Computer science Interface (computing) InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color 02 engineering and technology Guidelines Content-based image retrieval Set (abstract data type) 0202 electrical engineering electronic engineering information engineering Selection (linguistics) Fitts's law Content-Based Image Retrieval (CBIR) Image retrieval EWI-21036 Information retrieval business.industry IR-79006 Usability HMI-MR: MULTIMEDIA RETRIEVAL user interface (UI) 020201 artificial intelligence & image processing User interface business |
Zdroj: | Conference Dutch Directions in HCI, DD HCI 2004 |
Popis: | In Content-Based Image Retrieval (CBIR) two query-methods exist: query-by-example and query-by-memory. The user either selects an example image or selects image features retrieved from memory (such as color, texture, spatial attributes, and shape) to define his query. Hitherto, research on CBIR interfaces was absent. Hence, a usability evaluation of existing (CBIR) interfaces was done. Additionally, a study concerning human color cognition was conducted. Based on the resulting findings, a prototype color selection interface was developed. In a theoretical experiment, using Fitts' law, was proven that the prototype interface is highly efficient for CBIR purposes. This all resulted in a first set of design guidelines for CBIR color selection interfaces. |
Databáze: | OpenAIRE |
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