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ECCV
2010
Springer

Image Classification Using Super-Vector Coding of Local Image Descriptors

3 years 11 months ago
Image Classification Using Super-Vector Coding of Local Image Descriptors
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descriptors, then aggregates the results together to form image-level representations, and finally applies a classification model. For all the three steps we suggest novel solutions which make our approach appealing in theory, more scalable in computation, and transparent in classification. Our experiments demonstrate that the proposed classification method achieves state-of-the-art accuracy on the well-known PASCAL benchmarks.
Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ECCV
Authors Xi Zhou, Kai Yu, Tong Zhang, Thomas S. Huang
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