Human-computer interaction (2nd ed.)
Human-computer interaction (2nd ed.)
Searching satellite imagery with integrated measures
Pattern Recognition
RISE-SIMR: a robust image search engine for satellite image matching and retrieval
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Hi-index | 0.00 |
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.