TUB @ MediaEval 2011 Genre Tagging Task: Prediction using bag-of-words approaches

This paper describes our participation in Genre Tagging Task of MediaEval 2011, which aims to predict the videos’ category label. We use bag-of-words approaches with different features derived from visual content and associated textual information. We perform different experiments in which different constellations in respect of single modalities, classification methods, visual features and their combinations are investigated. Each video of the test set is assigned to a single genre label, therefore, the classification accuray (CA) is a good metric for evaluation. As expected the most pieces of information for distinguishing genre contain the metadata (MAP = 0.2988 / CA = 65%). In combination with visual words the performance can be increased (MAP = 0.3033 / CA = 65.2%).