Sept. 17, 2007 to Sept. 19, 2007
Matthew Cooper , FX Palo Alto Laboratory, USA
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.57
We present methods for semantic annotation of multimedia data. The goal is to detect semantic attributes (also referred to as concepts) in clips of video via analysis of a single keyframe or set of frames. The proposed methods integrate high performance discriminative single concept detectors in a random field model for collective multiple concept detection. Furthermore, we describe a generic framework for semantic media classification capable of capturing arbitrary complex dependencies between the semantic concepts. Finally, we present initial experimental results comparing the proposed approach to existing methods.
Matthew Cooper, "Collective Media Annotation using Undirected Random Field Models", ICSC, 2007, 2012 IEEE Sixth International Conference on Semantic Computing, 2012 IEEE Sixth International Conference on Semantic Computing 2007, pp. 337-343, doi:10.1109/ICSC.2007.57