Combining Supervised Learning with Color Correlograms for Content-Based Image Retrieval
| Author(s) : | Mandar Mitra S Ravi Kumar Jing Huang, |
| Publisher : | N/A |
| Publication Date : | 1997 |
| ISSN : | N/A |
| Abstract : | The paper addresses how relevance feedback can be used to improve the performance of content-based image retrieval. We present two supervised learning methods: learning the query and learning the metric. We combine the learning methods with the recently proposed color correlograms for image indexing/retrieval. Our results on a large image database of over 20; 000 images suggest that these learning methods are quite effective for content-basedimage retrieval., |