Summarization is the process of creating a more compact textual representation of a document or a collection of documents. In view of the vast increase in electronically available information sources in the last decade, filters such as automatically generated summaries are becoming ever more important to facilitate the efficient acquisition and use of required information. Different methods usi...

The purpose of this paper is to examine one the most significant and longest running social marketing campaigns in the United States: the campaign to educate people about nutritional information and recommended daily dietary guidelines. Since the late 1800s the various attempts to communicate this information to the public frequently made use of visual displays of the scientific data. We provid...

The authors vision of the information security system structural model digital process-oriented enterprise is based on analysis existing «information security» and its components, «cyber «network concepts. Model complex causal-consequential chains character two processual models: «enterprise business value creation chain» «process management pyramid». chain determined as a logical sequence digi...

This paper describes a document image analysis system using multiple agents working on a pyramid structure to separate text from graphics in the image. Text strings appear as different groupings of connected components at different resolution of the images. As such, the pyramid structure, which is a multi-resolution image representation, provides a natural means of identifying and grouping of c...

cessing and image understanding [11, 13]. The most efficient applications of the pyramid are in the areas of scalespace (or multiresolution) and coarse-to-fine operations. Multiscale or multiresolution image representation is a very powerful tool for analyzing numerous image features at multiple scales [6, 11]. Moreover, pyramid machines are not limited just to image processing tasks. By exploi...

Spatial pyramids have been successfully applied to incorporating spatial information into bag-of-words based image representation. However, a major drawback is that it leads to high dimensional image representations. In this paper, we present a novel framework for obtaining compact pyramid representation. Firstly, we investigate the usage of the divisive information theoretic feature clustering...

A new class of algorithms for image decomposition, named Inverse Pyramid Decomposition (IPD), is explored in this work. The algorithms of this class, developed and analyzed in the present work, are based on image approximation in the pyramid levels with a set of models. The algorithm for pyramid decomposition, known as Reduced Difference Pyramid (RDP) [2], which is the closest of the same class...

Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a Laplacian and Gaussian pyramid to better loc...

Some of the most successful exposure fusion algorithms are based on image decomposition in Gaussian/Laplacian pyramids. However, the visual quality of the fused result is highly dependent on the number of decomposition levels, i.e. the pyramid height. In this paper, the analysis of that dependence is performed, and an automated algorithm for optimization of the pyramid height is proposed. The a...

Spatial analysis of salient feature points has been shown to be promising in image analysis and classification. In the past, spatial pyramid matching makes use of both of salient feature points and spatial multiresolution blocks to match between images. However, it is shown that different images or blocks can still have similar features using spatial pyramid matching. The analysis and matching ...