In this paper we describe our experiments performed for TRECVID 2008. We participated in the High Level Feature extraction and the Search task. For the High Level Feature extraction task we mainly installed our detection environment. In the Search task we applied our new PRFUBE ranking model together with an estimation method which estimates a vital parameter of the model, the probability of a concept occurring in relevant shots. The PRFUBE model has similarities to the well known Probabilistic Text Information Retrieval methodology and follows the Probability Ranking Principle.
|Number of pages||11|
|Publication status||Published - Mar 2009|
|Event||TREC Video Retrieval Evaluation, TRECVID 2008 - Gaithersburg, United States|
Duration: 17 Nov 2008 → 18 Nov 2008
|Workshop||TREC Video Retrieval Evaluation, TRECVID 2008|
|Period||17/11/08 → 18/11/08|