Imagesemantics : user-generated metadata, content based retrieval & beyond

With the advent of Web 2.0 technologies a new attitude towards processing contents in the Internet has emerged. Nowadays it is a lot easier to create, share and retrieve multimedia contents on the Web. However, with the increasing amount in contents the retrieval process becomes more complex and often leads to inadequate search results. One main reason is summarized easily: Approaches to image clustering and retrieval usually either stick solely to the images’ low-level features or their semantic tags. However, this is frequently inappropriate since the “real” semantics of an image can only be derived from the combination of low-level features and semantic tags. Consequently, we investigated a more holistic view on semantics based on a system called Imagesemantics that tries to close the gap between both approaches by combining them. -- Web 2.0 ; social media platform ; user-generated content ; MPEG-7