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Image Classification Using Super-Vector Coding of Local Image Descriptors.
- Source :
- Computer Vision - ECCV 2010 (9783642155543); 2010, p141-154, 14p
- Publication Year :
- 2010
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783642155543
- Database :
- Complementary Index
- Journal :
- Computer Vision - ECCV 2010 (9783642155543)
- Publication Type :
- Book
- Accession number :
- 76760570
- Full Text :
- https://doi.org/10.1007/978-3-642-15555-0_11