A MULTI-SCALE LAYOUT DESCRIPTOR BASED ON DELAUNAY TRIANGULATION FOR IMAGE RETRIEVAL

Agnés Borràs Angosto, Josep Lladós Canet

2008

Abstract

Working with large collections of videos and images has need of effective and flexible techniques of retrieval and browsing. Beyond the classical color histogram approaches, the layout information has proven to be a very descriptive cue for image description. We have developed a descriptor that encodes the layout of an image using a histogram-based representation. The descriptor uses a multi-layer representation that captures the saliency of the image parts. Furthermore it encodes their relative positions using the properties of a Delaunay triangulation. The descriptor is a compact feature vector which content is normalized. Their properties make it suitable for image retrieval and indexing applications. Finally, have applied it to a video browsing application that detects characteristic scenes of a news program.

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Paper Citation


in Harvard Style

Borràs Angosto A. and Lladós Canet J. (2008). A MULTI-SCALE LAYOUT DESCRIPTOR BASED ON DELAUNAY TRIANGULATION FOR IMAGE RETRIEVAL . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 139-144. DOI: 10.5220/0001077501390144


in Bibtex Style

@conference{visapp08,
author={Agnés Borràs Angosto and Josep Lladós Canet},
title={A MULTI-SCALE LAYOUT DESCRIPTOR BASED ON DELAUNAY TRIANGULATION FOR IMAGE RETRIEVAL},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={139-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001077501390144},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A MULTI-SCALE LAYOUT DESCRIPTOR BASED ON DELAUNAY TRIANGULATION FOR IMAGE RETRIEVAL
SN - 978-989-8111-21-0
AU - Borràs Angosto A.
AU - Lladós Canet J.
PY - 2008
SP - 139
EP - 144
DO - 10.5220/0001077501390144