Image Categorization using Color Blobs in a Mobile Environment
| Autor: | David Gavilan Ruiz, Masayuki Nakajima, Hiroki Takahashi |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) Context (language use) Computer Graphics and Computer-Aided Design Color Blobs Image Categorization Mobile Computing Categorization Mobile phone Global Positioning System Segmentation Computer vision Artificial intelligence business Representation (mathematics) Graphical user interface |
| Zdroj: | Computer Graphics Forum. 22:427-432 |
| ISSN: | 1467-8659 0167-7055 |
| DOI: | 10.1111/1467-8659.00690 |
| Popis: | This paper generalizes the basic idea of blobs in preattentive perception using color information. This is used as the base of a basic classification of low resolution pictures taken with mobile phones. This classification, the blob-like representation of the image and other information in user’s context, such as GPS information, can be used in the presented framework as the basis of a new graphical interface for HCI (Human Computer Interaction). Similar systems whether they work with global properties of the image, which leads to inaccurate results, or with complex segmentation process that fails to capture expected objects in the scene. Most of those systems do not pay attention on other information involved in the creation of the image, such as time or location. We describe a system which uses geographical information associated with a picture in a mobile phone terminal, and with a fast segmentation based on color categorization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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