From Raw Data to Semantically Enriched Hyper- linking: Recent Advances in the LinkedTV Analy-

Abstract: Enriching linear videos by offering continu-ative and related information via, e.g., audio streams, web pages, as well as other videos, is typically ham-pered by its demand for massive editorial work. While a large number of analysis techniques that extract knowl-edge automatically from video content exists, their pro-duced raw data are typically not of interest to the end user. In this paper, we review our analysis efforts as de-fined within the LinkedTV project and present the re-cent advances in core technologies for automatic speech recognition and object-redetection. Furthermore, we introduce our approach for an automatically generated localized person identification database. Finally, the processing of the raw data into a linked resource avail-able in a web compliant format is described