Semantic Zoomable Interface for Multimedia Content

Without any doubt multimedia content has become essential in all aspects of our digital society, leading to the generation and storage of an unfathomable amount of digital media. In the Information Retrieval (IR) field the majority of research available to this date approaches all questions in terms of semantic tagging, indexing and feature extraction. Although these are all fundamental steps in the design of any IR system, we believe that also an efficient human machine interface (HMI) can significantly improve the retrieval rate success at the end-user side. In our work we developed a Zoomable User Interface integrated with semantic algorithms dealing with media content, calling it a Semantic ZUI: we believe thath this approach can help browsing multimedia files in a seamless way, providing benefits for end users.