Publication details
Improving the Image Retrieval System by Ranking
| Authors | |
|---|---|
| Year of publication | 2010 |
| Type | Article in Proceedings |
| Conference | 3rd International Conference on Similarity Search and Applications (SISAP 2010) |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | image retrieval system; ranking; relevance-feedback |
| Description | This demonstration paper presents an image retrieval system that allows to bridge the semantic gap by combining visual and text ranking on a large collection of 8 million images. We present several ranking methods including user relevance feedback. The demonstration is available as online web application. |
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