Name
Abstract | ||
|---|---|---|
The enormous volumes of image data being produced on a daily basis in different application domains throughout the world lead to the significant challenge of managing, exploiting and mining this vast amount of steadily increasing data in various domains. Nevertheless, most research efforts focus on mining large collection of images or on the combined data mining of large collections of images with associated external sources of information (alphanumeric data, information system, etc.). Rare efforts focus of knowledge discovery of a single image (or a set of images of the same scene). This particular issue of image mining is referred to as: Scene mining. Different levels of semantic the scene information representations are first detailed. Mining tasks are then expressed for different representation levels. The application of scene mining concepts using mammographic medical images as well as remotely sensed images are considered to illustrate different mining concepts.. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/3010089.3010142 | Proceedings of the International Conference on Big Data and Advanced Wireless Technologies |
DocType | ISBN | Citations |
Conference | 978-1-4503-4779-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Basel Solaiman | 1 | 127 | 35.05 |