Relating visual and semantic image descriptors

This paper addresses the automatic analysis of visual content and extraction of metadata beyond pure visual descriptors. Two approaches are described: Automatic Image Annotation (AIA) and Confidence Clustering (CC). AIA attempts to automatically classify images based on two binary classifiers and is designed for the consumer electronics domain. Contrastingly, the CC approach does not attempt to assign a unique label to images but rather to organise the database based on concepts

Illumination and device invariant image stitching

International audienc

An illumination effect descriptor for video sequences

Theme 3 - interaction homme-machine, images, donnees, connaissances - Projet TemicsSIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 14802 E, issue : a.2000 n.3866 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Object rotation axis from shading

Theme 3 - interaction homme-machine, images, donnees, connaissances - Projet TemicsSIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : 14802 E, issue : a.2000 n.3865 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc