Semantic multimedia

Growing amounts of multimedia data of various modalities (video, audio, 3D objects, etc.) make management, distribution of and access to multimedia material ever harder, both for lay and professional users. Novel approaches, bridging the large disparity between descriptors computed automatically from multimedia content, and the subjectivity and context in user interpretation and interaction, are required. There is still a need for further exploration on how technologies from different research areas can be used to enhance the value of multimedia content, for example, to support multimedia representation, analysis and annotation. Towards this direction, a number of research approaches are focusing on combining multimedia signal and text processing with semantics and knowledge based methods in order to achieve higher-level understanding and annotation of multimedia content. This research direction, often called semantic multimedia, combines techniques such as low-level multimedia feature extraction, common semantic representation schemes for features and concepts, machine learning, reasoning and visualization. These