Bayesian Decision Versus Voting for Image Retrieval - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 1997

Bayesian Decision Versus Voting for Image Retrieval

Abstract

Image retrieval from image databases is usually performed by using global image characteristics. However the use of local image information is highly desirable when only part of the image is of interest. An original solution was introduced in [9] using invariant local signal characteristics. This paper extends this contribution by extending the set of invariants considered to allow illumination change. Then it is shown that the invariant distribution is far from uniform and a probabilistic indexing scheme is proposed. Experimental results validate the approch and the different methods are discussed.
Fichier principal
Vignette du fichier
mohr97bayesian-1.pdf (949.21 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00548350 , version 1 (22-12-2010)

Identifiers

Cite

Roger Mohr, Sylvaine Picard, Cordelia Schmid. Bayesian Decision Versus Voting for Image Retrieval. 7th International Conference on Computer Analysis of Images and Patterns (CAIP '97), Sep 1997, Kiel, Germany. pp.376--383, ⟨10.1007/3-540-63460-6_140⟩. ⟨inria-00548350⟩
128 View
213 Download

Altmetric

Share

Gmail Facebook X LinkedIn More