Informational videos are becoming increasingly important among all video types. The users spend so much time browsing the informative videos, even if they not interested in their topics. Thence, a new method for extracting descriptive frames is presented this paper that allows to navigate directly topics of interest video. proposed consists three main phases: preprocessing, segmentation, and se...

We describe an algorithm which directly determines the quintessence potential from observational data, without using an equation of state parametrisation. The strategy is to numerically determine observational quantities as a function of the expansion coefficients of the quintessence potential, which are then constrained using a likelihood approach. We further impose a model selection criterion...

Numerous sources of data are available on the web, for instance, product catalogs, multiple directories, conference and event sites, etc. The extraction of information from the content of these sources is a challenging problem and a hard task since they are heterogeneous and dynamic. This paper presents a new method for extracting wrappers and relations from the web using both page encoding and...

Unnecessary backtracking is a principal source of ineeciency in Prolog execution. In order to avoid the overhead of the general backtracking mechanism, determinate programs should be executed deterministically. Achieving this requires an automatic means of extracting de-terminacy. We present a method in which determinacy is inferred from the success conditions and the calling contexts of predic...

In order to make the environment of palmprint recognition more flexible and improve the accuracy of touchless palmprint recognition. This paper proposes a robust, touchless, palmprint recognition system which is based on color palmprint images. This system uses skin-color thresholding and hand valley detection algorithm for extracting palmprint. Then, the local binary pattern (LBP) is applied t...

During the past few years, several novel text mining algorithms have been developed in the context of the BioNLP Shared Tasks on Event Extraction. These algorithms typically aim at extracting biomolecular interactions from text by inspecting only the context of one sentence. However, when humans interpret biomolecular research articles, they usually build upon extensive background knowledge of ...

This paper proposes a real-time scheme for object segmentation in video. In the first stage a segmentation based on pairwise region comparison is utilized to oversegment image through extracting superpixels. Next, the algorithm applies the graph cut built on such superpixels, instead of the image pixels. Owing to the optimization is performed on a simpler graph and in consequence the object seg...