• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail - Request a copy

Delta-distance: A family of dissimilarity metrics between images represented by multi-level feature vectors

Jomier, Geneviève; Manouvrier, Maude; Rukoz, Marta (2006), Delta-distance: A family of dissimilarity metrics between images represented by multi-level feature vectors, Information Retrieval, 9, 6, p. 633-655. http://dx.doi.org/10.1007/s10791-006-9011-7

Type
Article accepté pour publication ou publié
Date
2006
Journal name
Information Retrieval
Volume
9
Number
6
Publisher
Springer
Pages
633-655
Publication identifier
http://dx.doi.org/10.1007/s10791-006-9011-7
Metadata
Show full item record
Author(s)
Jomier, Geneviève
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Manouvrier, Maude cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rukoz, Marta
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
This article presents the Δ-distance, a family of distances between images recursively decomposed into segments and represented by multi-level feature vectors. Such a structure is a quad, a quin or a nona-tree resulting from a fixed and arbitrary image partition or from an image segmentation process. It handles positional information of image features (e.g. color, texture or shape). Δ-distance is the generalized form of dissimilarity measures between multi-level feature vectors. Using different weights on tree nodes and different distances between nodes, distances between trees or visual similarity between images can be computed based on the general definition of Δ. In this article, we present three Δ-based distance families: two families of distances between tree structures, called {T}-distance{T}for Tree) and {S}-distance for Segment), and a family of visual distances between images, called {V}for Visual). The {V)-distance visually compares two images using their tree representation and the other two distances compare the tree structures resulting from image segmentation. Moreover, we show how existing distances between multi-level feature vectors appear to be particular cases of the Δ-distance.
Subjects / Keywords
Similarity of image segments; Distance between quad/quin or nona-trees; Content-based image retrieval; Image database

Related items

Showing items related by title and author.

  • Thumbnail
    A Generalized Metric Distance between Hierarchically Partitioned Images 
    Jomier, Geneviève; Manouvrier, Maude; Rukoz, Marta (2005) Communication / Conférence
  • Thumbnail
    Quadtree-Based Distances between Images 
    Jomier, Geneviève; Manouvrier, Maude; Rukoz, Marta (2005) Document de travail / Working paper
  • Thumbnail
    Multilevel Index for Global and Partial Content-Based Image Retrieval 
    Manouvrier, Maude; Rukoz, Marta; Oria, Vincent; Jomier, Geneviève (2005) Communication / Conférence
  • Thumbnail
    Distances de similarité d'images basées sur les arbres quaternaires 
    Manouvrier, Maude; Rukoz, Marta; Jomier, Geneviève (2002) Communication / Conférence
  • Thumbnail
    Indexation multi-niveau pour la recherche globale et partielle d'images par le contenu 
    Oria, Vincent; Manouvrier, Maude; Jomier, Geneviève; Rukoz, Marta (2004) Communication / Conférence
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo