A Hybrid Ontology and Content-Based Search Engine For Multimedia Retrieval

10th East-European Conference on Advances in Databases and Information Systems

Charalampos Doulaverakis ; Evangelia Nidelkou ; Anastasios Gounaris ; Yiannis Kompatsiaris

Others  :  http://CEUR-WS.org/Vol-215/paper04.pdf
PID  :  22216

来源: CEUR

【 摘 要 】

Huge amounts of digital visual content are currently available, thus placing a demand for advanced multimedia search engines. The contribution of this paper is the presentation of a search engine that is capable of retrieving images based on their keyword annotation with the help of an ontology, or based on the image content to ¯nd similar images, or on both these strategies. To this end, the search engine is composed of two di®erent subsystems, a low-level image feature analysis and retrieval system and a high-level ontology-based metadata structure. The novel feature is that the two subsystems can co-operate during the evaluation of a single query in a hybrid fashion. The system has been evaluated and experimental results on real cultural heritage collections are presented.