Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely ...
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
Over the years, the notion of concept relatedness has attracted considerable attention. A variety of approaches, based on ontology structure, information content, association, or ...
Dolf Trieschnigg, Edgar Meij, Maarten de Rijke, We...