4 August 2010 Scene categorization based on heterogeneous features
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Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77441U (2010) https://doi.org/10.1117/12.863481
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China
Abstract
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.
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Fuxiang Lu, Xiaokang Yang, Rui Zhang, Songyu Yu, "Scene categorization based on heterogeneous features", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441U (4 August 2010); doi: 10.1117/12.863481; https://doi.org/10.1117/12.863481
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