Imperial College London

DrKrystianMikolajczyk

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Computer Vision
 
 
 
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Contact

 

+44 (0)20 7594 6220k.mikolajczyk

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Koniusz:2011:10.1109/ICIP.2011.6116639,
author = {Koniusz, P and Mikolajczyk, K},
doi = {10.1109/ICIP.2011.6116639},
pages = {661--664},
publisher = {IEEE},
title = {Spatial coordinate coding to reduce histogram representations, dominant angle and colour pyramid match},
url = {http://dx.doi.org/10.1109/ICIP.2011.6116639},
year = {2011}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Spatial Pyramid Match lies at a heart of modern object category recognition systems. Once image descriptors are expressed as histograms of visual words, they are further deployed across spatial pyramid with coarse-to-fine spatial location grids. However, such representation results in extreme histogram vectors of 200K or more elements increasing computational and memory requirements. This paper investigates alternative ways of introducing spatial information during formation of histograms. Specifically, we propose to apply spatial location information at a descriptor level and refer to it as Spatial Coordinate Coding. Alternatively, x, y, radius, or angle is used to perform semi-coding. This is achieved by adding one of the spatial components at the descriptor level whilst applying Pyramid Match to another. Lastly, we demonstrate that Pyramid Match can be applied robustly to other measurements: Dominant Angle and Colour. We demonstrate state-of-the art results on two datasets with means of Soft Assignment and Sparse Coding.
AU - Koniusz,P
AU - Mikolajczyk,K
DO - 10.1109/ICIP.2011.6116639
EP - 664
PB - IEEE
PY - 2011///
SN - 1522-4880
SP - 661
TI - Spatial coordinate coding to reduce histogram representations, dominant angle and colour pyramid match
UR - http://dx.doi.org/10.1109/ICIP.2011.6116639
ER -