Content Meets Semantics: Smarter Exploration of Image Collections - Presentation of Relevant Use Cases

2012 Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems   unpublished
Current techniques for the management of image collections exploit either user-provided annotations or automatically-extracted visual features. Although effective, the approach based on annotations cannot be efficient since the manual process of data tagging prevents its scalability. On the other hand, the organization and search grounded on visual features, such as color and texture, is known to be a powerful (since it can be made fully automatic), yet imprecise, retrieval paradigm, because of
more » ... aradigm, because of the semantic gap problem. This position paper advocates the combination of visual content and semantics as a critical binomial for effectively and efficiently managing and browsing image databases satisfying users' expectations in quickly locating images of interest.
doi:10.5220/0004126901860191 fatcat:574q4gdqnbfc3crn6if2vmzi5i