Third International Conference on Information Technology and Applications (ICITA'05) Volume 1 Combining Multiple Precision-Boosted Classifiers for Indoor-Outdoor Scene Classification Sydney, Australia July 04-July 07 ISBN: 0-7695-2316-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.99
Along with the progress of the content-based image retrieval research and the development of the MPEG-7 feature descriptors, there has been an increasing research interest on object recognition and semantics extraction from images and videos. In this paper, we revisit an old problem of indoor versus outdoor scene classification. By introducing a precision-boosted combination scheme of multiple classifiers trained on several global and regional feature descriptors, our experiment has led to better results compared with previous approaches.
Citation:
Da Deng, Jianhua Zhang, "Combining Multiple Precision-Boosted Classifiers for Indoor-Outdoor Scene Classification," icita, vol. 1, pp.720-725, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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