Abstract : In heterogeneous databases, images often provided from different sources and belong to different topics, hence there is a need for a large description to ensure efficient representation of their content. However, extracted features are not always adapted to the considered image database. In this paper we propose a new image recognition approach based on two innovations, namely adaptive feature selection and Multi-Model Classification Method (MC-MM). The adaptive selection considers only the most adapted features with the used image database content. The MC-MM method ensures image recognition using hierarchically selected features. Experimental results confirm the effectiveness and the robustness of our proposed approach.
https://hal.archives-ouvertes.fr/hal-00745315 Contributor : Frédéric DavesneConnect in order to contact the contributor Submitted on : Thursday, October 25, 2012 - 11:48:38 AM Last modification on : Monday, November 22, 2021 - 6:42:03 PM