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Communication Dans Un Congrès Année : 2016

Towards Visual Vocabulary and Ontology-based Image Retrieval System

Résumé

Several approaches have been introduced in image retrieval field. However, many limitations, such as the semantic gap, still exist. As our motivation is to improve image retrieval accuracy, this paper presents an image retrieval system based on visual vocabulary and ontology. We propose, for every query image, to build visual vocabulary and ontology based on images annotations. Image retrieval process is performed by integrating both visual and semantic features and similarities.
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Dates et versions

hal-01557742 , version 1 (06-07-2017)

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Jalila Filali, Hajer Baazaoui Zghal, Jean Martinet. Towards Visual Vocabulary and Ontology-based Image Retrieval System. International Conference on Agents and Artificial Intelligence , Feb 2016, Rome, Italy. pp.560 - 565, ⟨10.5220/0005832805600565⟩. ⟨hal-01557742⟩
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