In the context of Knowledge Discovery in Databases, data reduction is a pre-processing step delivering succinct yet meaningful data to sequent stages. If the target of mining are data streams, then it is crucial to suitably reduce them, since often analyses on such data require multiple scans. In this chapter, we propose a histogram-based approach to reducing sliding windows supporting approxim...

Data hiding is a method of hiding or embedding secret data, called message, into a digital media, called cover; in such a way that message is unnoticeable to human eye. An algorithm that can retrieve the message from the cover without any loss to original image is called reversible. Histogram shifting has proven its importance in the field of digital watermarking after the work of Ni et al. In ...

In this paper, a general framework for image contrast enhancement algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form opt...

The traditional method for creating a color histogram is to equally subdivide a certain color space into a given number of bins and then count the number of pixels each bin contains. Using such a histogram, the performance of almost all methods of histogram comparison are highly sensitive to the localization of the bin boundaries. In order to alleviate this sensitivity a new method of histogram...

Content-based image retrieval (CBIR) is a collection of techniques for retrieving images on the basis of features, such as color, texture and shape. An efficient tool, which is widely used in CBIR, is that of color image histograms. The classic method of color histogram creation results in very large histograms with large variations between neighboring bins. Thus, small changes in the image mig...

A vision-based real-time human detection and tracking capability is one of the key components of surveillance systems, human computer interfaces and monitoring systems. In this paper, we propose a method which uses color and disparity information obtained with a stereo camera. In order to achieve optimal performance with respect to detection or tracking of objects, it is better to consider mult...

introduction: content based image retrieval (cbir) is a method of image searching and retrieval in a  database. in medical applications, cbir is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. as the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

BACKGROUND AND PURPOSE Previously reported quantitative parameters for the magnetization transfer ratio (MTR) do not give identical results, which can limit their ability to differentiate normal from diseased tissue and render them vulnerable to variations among MR systems. Our purpose was to systematically study different MTR metrics; propose a new MTR histogram parameter, AMTR(2/3); and compa...

This paper presents a method to track human body parts in 3D video sequences for character animation production. A voxel-based Local Shape Histogram descriptor is first extracted as geometric features. A graph-based Multiple Objects Tracking scheme is then used to track these features. Finally, the evaluation against a publicly available real 3D video database demonstrates the performance.