TraceSense
Tags categorization
TraceSense is a application that automatically categorizes videos, photos, podcasts or other multimedia content by exploiting on the textual information related to these contents, such as user contributed tags.
Tagging is the most common and the simplest procedure to add meaning to web objects (like videos, articles, songs, recipes, webpages, etc.). The users of the most popular Web 2.0 sites (as are YouTube, Delicious, Flickr, Amazon) make use of text labels to describe the content they create and share on the web. The user-generated tags should make easier the web resources findability. However, the freedom to generate tags can generate also many ambiguities that prevent a full use of these information.
The technology used by TraceSense (patent pending), developed by IntelliSemantic and e-Lite research group of Politecnico di Torino, makes possible to automatically identify similar contents. The semantic interpretation of the textual information related to multimedia resources, and its relevance, generates target categories as Politics, Sport, Celebrities, Fashion, Food and Wellness and their combinations.
In which business context TraceSense is useful?
Some possible examples of use for the TraceSense technology are:
-To provide full automatically valuable hints to a media-planner to relate an advertisement to a specific target-audience so he/she can improve the market segmentation quality.
-To help multimedia content producers and distributors to classify the huge quantity of their resources to organize them and to provide contents suitable for a certain target, or finally to profile it according to his or her needs.
-To support self-organization of social networks to relate users having shared interests. The product brochure and a ppt. presentation can be accessed here.
For additional information contact directly IntelliSemantic.
