@inproceedings{ae4710f260034f9d977cf2a7f33379cb,
title = "Local jet feature space framework for image processing and representation",
abstract = "We present a unified framework for processing and representing images using a feature space related to local similarity. The visual data is represented by the versatile multiscale local jet feature space, possibly reduced by vector quantisation and/or represented by data structures enabling efficient nearest neighbours search (e.g. kd-trees). We demonstrate the interest of the local jet feature space processing through three fundamental low level tasks: noise reduction, motion estimation and background modelling/subtraction. We also show the potential of the framework in terms of higher level visual representation (e.g. recognition/retrieval).",
keywords = "Background modelling, Multiscale local jets, Nearest neighbours, Non local means, Optical flow, Similarity space, Vision framework",
author = "Antoine Manzanera",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/SITIS.2011.49",
language = "English",
isbn = "9780769546353",
series = "Proceedings - 7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011",
pages = "261--268",
booktitle = "Proceedings - 7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011",
note = "7th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2011 ; Conference date: 28-11-2011 Through 01-12-2011",
}