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Producing large amounts of digital media data every day requires fast transmission, efficient storage, flexible manipulation, and reuse of visual content. Since humans tend to use high-level semantic concepts when querying and browsing multimedia databases, there is an increasing need for semantic video indexing and analysis. For this purpose, we proposed a unified framework for semantic extraction...
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,...
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