This paper aims to present a new approach for automatic extraction of building footprints in a
combination of the IKONOS imagery with pan-sharpened multi-spectral bands and the low …

Although there are many advanced and specialized texts and handbooks on algorithms,
until now there was no book that focused exclusively on the wide variety of data structures …

For low bit-rate compression applications, segmentation-based coding methods provide, in
general, high compression ratios when compared with traditional (eg, transform and …

This paper addresses how to manage planar spatial data using MongoDB, a popular
NoSQL database characterized as a document-oriented, rich query language and high …

The presence of shadows in an image heips viewers to better understand the spatiai-
relationships between objects, is vital for interactive-applications" such as----Virtual Reaiity …

This paper presents two multiresolution segmentation-based algorithms for low bit rate
image compression using hierarchical data structures. The segmentation is achieved with …

Currently, Nearest-Neighbor approaches (NN) have been applied to large scale real world
image data mining. However, the following three disadvantages prevent them from wider …

This paper presents a new multiresolution segmentation-based algorithm for image
compression. High quality low bit rate image compression is achieved by recursively coding …

A otimização multiobjetivo é muitas vezes empregada na fase de projeto de um sistema,
com a qual se obtém um conjunto de soluções Pareto-ótimas aproximadas para o modelo …

This paper presents a bibliography of nearly 1200 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include architectures; …