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Proceedings Paper

Scene categorization based on heterogeneous features
Author(s): Fuxiang Lu; Xiaokang Yang; Rui Zhang; Songyu Yu
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Paper 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.

Paper Details

Date Published: 4 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441U (4 August 2010); doi: 10.1117/12.863481
Show Author Affiliations
Fuxiang Lu, Shanghai Jiao Tong Univ. (China)
Xiaokang Yang, Shanghai Jiao Tong Univ. (China)
Rui Zhang, Shanghai Jiao Tong Univ. (China)
Songyu Yu, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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