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ITI-CERTH participation to TRECVID 2013
Abstract and Figures
This paper provides an overview of the tasks submitted to TRECVID 2013 by ITI-CERTH. ITI- CERTH participated in the Semantic Indexing (SIN), the Event Detection in Internet Multimedia (MED), the Multimedia Event Recounting (MER) and the Instance Search (INS) tasks. In the SIN task, techniques are developed, which combine new video representations (video tomographs) with existing well-performing descriptors such as SIFT, Bag-of-Words for shot representation, ensemble construction techniques and a multi-label learning method for score re�nement. In the MED task, an e�cient method that uses only static visual features as well as limited audio information is evaluated. In the MER sub-task of MED a discriminant analysis-based feature selection method is combined with a model vector approach for selecting the key semantic entities depicted in the video that best describe the detected event. Finally, the INS task is performed by employing VERGE, which is an in- teractive retrieval application combining retrieval functionalities in various modalities, used previously for supporting the Known Item Search (KIS) task.
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