Glasgow University at TRECVID 2006
Jana Urban, Xavier Hilaire, Frank Hopfgartner, Robert Villa, Joemon M. Jose, Siripinyo Chantamunee, Yoshihiko Gotoh · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2006
In the first part of this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2006. We submitted five fully automatic runs, including a text baseline, two runs based on visual features, and two runs that combine textual and visual features in a graph model. For the interactive search, we have implemented a new video search interface with relevance feedback facilities, based on both textual and visual features. The second part is concerned with our approach to the high-level feature extraction task, based on textual information extracted from speech recogniser and machine translation outputs. They were aligned with shots and associated with high-level feature references. A list of significant words was created for each feature, and it was in turn utilised for identification of a feature during the evaluation.