Resumen de Content based image retrieval by convolutional neural networks

Safa Hamreras, Rafaela Benitez Rochel , Bachir Boucheham, Miguel A. Molina Cabello, Ezequiel López Rubio

• In this paper, we present a Convolutional Neural Network(CNN) for feature extraction in Content Based Image Retrieval (CBIR).The proposed CNN aims at reducing the semantic gap between lowlevel and high-level features. Thus, improving retrieval results. Our CNN is the result of a transfer learning technique using Alexnet pretrained network. It learns how to extract representative features from a learning database and then uses this knowledge in query feature extraction.Experimentations performed on Wang (Corel 1K) database show a significant improvement in terms of precision over the state of the art classic approaches.