Image Characterization via Multilayer Neural Networks

The achievement of image retrieval systems severally depends on the way the data is represented. This paper proposes a new image representation through an intelligent mechanism via neural networks for semantic-gap and dimensionality reduction. The goal of the multilayer neural network is to represent high-level semantic concepts and knowledge through a pre-defined set of images. As a consequence of this low-level into high-level feature transformation there is a semantic gap reduction between human perception and automatic feature extraction. The experimental results show the effective performance of the proposed technique.