Automatic image annotation using visual content and folksonomies
| Autor: | Georg Thallinger, Viktoria Pammer, Roland Mörzinger, Stefanie Lindstaedt, Robert Sorschag |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Vocabulary
Information retrieval Computer Networks and Communications Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Task (project management) Image (mathematics) Automatic image annotation Hardware and Architecture Controlled vocabulary Content (measure theory) Media Technology Image retrieval Software media_common |
| Zdroj: | Multimedia Tools and Applications. 42:97-113 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-008-0247-7 |
| Popis: | Automatic image annotation is an important and challenging task, and becomes increasingly necessary when managing large image collections. This paper describes techniques for automatic image annotation that take advantage of collaboratively annotated image databases, so called visual folksonomies. Our approach applies two techniques based on image analysis: First, classification annotates images with a controlled vocabulary and second tag propagation along visually similar images. The latter propagates user generated, folksonomic annotations and is therefore capable of dealing with an unlimited vocabulary. Experiments with a pool of Flickr images demonstrate the high accuracy and efficiency of the proposed methods in the task of automatic image annotation. Both techniques were applied in the prototypical tag recommender "tagr". |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink