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Multi-layered Image Representation for Image Interpretation
| Content Provider | CiteSeerX |
|---|---|
| Author | Ivasic-Kos, Marina Pobar, Miran Ipsic, Ivo |
| Abstract | In order to bridge the semantic gap between the visual context of an image and semantic con-cepts people would use to interpret it, we propose a multi-layered image representation model considering different amounts of knowledge needed for the interpretation of the image at each layer. Interpretation results on different semantic layers of Corel images related to outdoor scenes are presented and compared. Obtained results show positive correlation of precision and recall with the abstract level of classes used for image annotation, i.e. more generalized classes have achieved better results. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multi-layered Image Representation Image Interpretation Corel Image Abstract Level Different Amount Visual Context Semantic Con-cepts People Multi-layered Image Representation Model Interpretation Result Image Annotation Generalized Class Semantic Gap Positive Correlation Different Semantic Layer |
| Content Type | Text |
