- We propose a secure steganographic approach with a high capacity. We first use small neighborhoods of the original histogram to calculate the minimum remapping from a histogram t...
Many commercial database systems maintain histograms to summarize the contents of relations and permit efficient estimation of query result sizes and access plan costs. Although s...
Viswanath Poosala, Yannis E. Ioannidis, Peter J. H...
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concate...
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these a...
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
Linas Baltrunas, Arturas Mazeika, Michael H. B&oum...
Location monitoring systems are used to detect human activities and provide monitoring services, e.g., aggregate queries. In this paper, we consider an aggregate location monitori...
We present an efficient pixel-sampling technique for histogram-based search. Given a template image as a query, a typical histogram-based algorithm aims to find the location of ...