Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
This paper presents a novel hardware implementation of a disparity estimation scheme targeted to real-time Integral Photography (IP) image and video sequence compression. The soft...
We present a dynamic bit-width adaptation scheme in DCT applications for efficient trade-off between image quality and computation energy. Based on sensitivity differences of 64 ...
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...