Feature coding and pooling are two critical stages in the widely used Bag-of-Features (BOF) framework in image classification. After coding, each local feature formulates its representation by the visual codewords. However, the two-dimensional feature-code layout is transformed to a one-dimensional codeword representation after pooling. The property for each local feature is ignored and the who...

Identifying an object and distinguishing it from similar items depends upon the ability to perceive its component parts as conjoined into a cohesive whole, but the brain mechanisms underlying this ability remain elusive. The ventral visual processing pathway in primates is organized hierarchically: Neuronal responses in early stages are sensitive to the manipulation of simple visual features, w...

Local feature coding has drawn much attention in recent years. Many excellent coding algorithms have been proposed to improve the bag-of-words model. This paper proposes a new local feature coding method called local hypersphere coding (LHC) which possesses two distinctive differences from traditional coding methods. Firstly, we describe local features by the edges between visual words. Secondl...

Current developments in digital image coding tend to involve more and more complex algorithms. Overall compression performance can be improved by decomposing the image into regions and applying, for each region, the algorithm best suited to encode the region. Such schemes are referred to as dynamic coding schemes. However, this implies an algorithm selection phase. Current selection methods req...

3 Function description 4 3.1 Homolog Reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2 Feature Extraction and Numerical Coding . . . . . . . . . . . . . . . . . . . 4 3.2.1 Biological sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2.2 Feature Coding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3.3 Feature Selection . . . . . . ...