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4 August 2010Scene categorization based on heterogeneous features
In this paper we present a complete framework for scene categorization that builds upon and extends several
recent ideas including spatial pyramid representation and a variety of base local descriptors which have different
discriminative power and invariance from task to task. Furthermore, we propose two strategies: sum-max and
max-max, used to effectively combine diverse source of data in a unified setting way. Our approach shows
significantly improved performance on a large, challenging data set of fifteen natural scene categories. Owing to
combination of complementary information cues, our approach is expected to equally applicable to a range of
tasks.