About Segmentation Step in Content-based Image Retrieval Systems - Archive ouverte HAL Access content directly
Journal Articles Lecture notes in engineering and computer science Year : 2011

About Segmentation Step in Content-based Image Retrieval Systems

(1) , (2) , (3)
1
2
3

Abstract

Despite of the hope arised a few years ago, Content Based Image Retrieval - CBIR - systems has not reached the initial goal, ie to manage and search images in database: we are unable to link the semantic sens of an image to numerical values. However, some members of the community have begun the necessary introspection. The analyze of each step of the feature extraction will allow us to overcome actual problematics and to take the right path in the future. In this context, we propose in this paper to discuss about a low-level tool frequently used: the segmentation step. In the general context of scene images, we evaluate the stability of some classical algorithms using a basic protocol. The quite inefficiency of all approaches let us conclude to the necessity to use meta-data and any other collected informations during this first segmentation step.
Fichier principal
Vignette du fichier
WCECS2011_pp550-554.pdf (1.01 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

ujm-00650680 , version 1 (12-12-2011)

Identifiers

  • HAL Id : ujm-00650680 , version 1

Cite

Jérôme da Rugna, Chareyron Gael, Konik Hubert. About Segmentation Step in Content-based Image Retrieval Systems. Lecture notes in engineering and computer science, 2011, 2193 (1), pp.550-554. ⟨ujm-00650680⟩
185 View
141 Download

Share

Gmail Facebook Twitter LinkedIn More