On Evaluating Sport Event Recognition using Bag-of-Words Model

This paper presents extensive experiments on sport event images using the Bag-of-Words model. We propose a simple but effective combination of feature extraction and visual dictionary formation to boost the performance of Naive Bayes classifier based on BOW model. Despite of not being a novel idea, our algorithm offers encouraging performance in event recognition domain. Moreover, in certain degrees, it can compete to typical works in event image clustering. Two challenge datasets are involved in discovering interesting facts needed to be concerned when designing a features sharing framework for event recognition.