Entropy Estimation and Multi-Dimensional Scale Saliency

In this paper we survey two multi-dimensional Scale Saliency approaches based on graphs and the k-d partition algorithm. In the latter case we introduce a new divergence metric and we show experimentally its suitability. We also show an application of multidimensional Scale Saliency to texture discrimination. We demonstrate that the use of multi-dimensional data can improve the performance of texture retrieval based on feature extraction.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Pablo Suau, Francisco Escolano
• Keywords: Computer Vision, ICPR 2010, K-d Partition Algorithm, Multi-dimensional Scale Saliency, Multidimensional Scale Saliency