loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Olivier Schwander and Frank Nielsen

Affiliation: École Polytechnique;ÉNS Cachan;Sony Computer Science Laboratories Inc, Japan

ISBN: 978-989-674-028-3

Keyword(s): Image retrieval, Bregman divergences, Alpha divergences, Clustering, Reranking, Context.

Related Ontology Subjects/Areas/Topics: Computational Geometry ; Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Image Formation and Preprocessing ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on contextual dissimilarity measures. Our work revisit and extend the method of Perronnin et al. (Perronnin et al., 2009) which introduces a way to build contexts used in turn to design contextual dissimilarity measures for reranking. Instead of using truncated rank lists from a CBIR engine as contexts, we rather use a clustering algorithm to group similar images from the rank list. We introduce the representational Bregman divergences and further generalize the Bregman k-means clustering by considering an embedding representation. These representation functions allows one to interpret a-divergences/projections as Bregman divergences/projections on a-representations. Finally, we validate our approach by presenting some experimental results on ranking performances on the INRIA Holidays database.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.228.21.186

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Schwander O.; Nielsen F. and (2010). RERANKING WITH CONTEXTUAL DISSIMILARITY MEASURES FROM REPRESENTATIONAL BREGMAN K-MEANS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 118-123. DOI: 10.5220/0002842901180123

@conference{visapp10,
author={Olivier Schwander and Frank Nielsen},
title={RERANKING WITH CONTEXTUAL DISSIMILARITY MEASURES FROM REPRESENTATIONAL BREGMAN K-MEANS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={118-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002842901180123},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - RERANKING WITH CONTEXTUAL DISSIMILARITY MEASURES FROM REPRESENTATIONAL BREGMAN K-MEANS
SN - 978-989-674-028-3
AU - Schwander, O.
AU - Nielsen, F.
PY - 2010
SP - 118
EP - 123
DO - 10.5220/0002842901180123

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.