DocumentCode
595230
Title
Using spatial pyramids with compacted VLAT for image categorization
Author
Negrel, Romain ; Picard, David ; Gosselin, Philippe-Henri
Author_Institution
ETIS, Univ. of Cergy-Pontoise, Cergy-Pontoise, France
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
2460
Lastpage
2463
Abstract
In this paper, we propose a compact image signature based on VLAT. Our method integrates spatial information while significantly reducing the size of original VLAT by using two projection steps. we carry out experiments showing our approach is competitive with state of the art signatures.
Keywords
feature extraction; image classification; learning (artificial intelligence); tensors; classifier learning; compact image signature; compacted VLAT; content based image categorization; descriptors aggregation; local image descriptor extraction; projection steps; spatial pyramids; vector-of-locally aggregated tensors; Approximation methods; Encoding; Kernel; Tensile stress; Training; Vectors; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460665
Link To Document