• The objective is to identify brand logos from given set of images. The dataset consists of various images of objects bearing the logos. We first look for logo in the image and then try to classify it to a particular brand name. • The technique is invariant to scale and builds an index using min-Hashing on the feature bundles. The feature bundles are formed using the spatial location and the v...

LOGOS project provides a Knowledge-on-Demand ubiquitous learning platform that supports the gradual development of courseware and its cross-media delivery as learning experiences in order to satisfy different learning needs. Special attention is given to provide pedagogically-sound personalization services which can be exploited both by Learners directly and courseware authors in order to devel...

The need to measure sequence similarity arises in many applicitation domains and often coincides with sequence alignment: the more similar two sequences are, the better they can be aligned. Aligning sequences not only shows how similar sequences are, it also shows where there are differences and correspondences between the sequences. Traditionally, the alignment has been considered for sequence...

In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification. Color, texture, and shape of a logo wholly describe the global characteristics of logo images. The various combinations of these characteristics are used for classification. The combination conta...

We propose a method for localizing and recognizing brand logos in natural images. The task is extremely challenging, due to the various changes in the appearance of the logos. We construct class templates by matching features between examples of the same class to build homographies. An interconnections graph is developed for each class and the representative points are added to the class model....

in this article, it has been tried to analyze the mental satisfaction of the quality of life in different regions in terms of objective development. for this purpose, districts no. 3, 6, and 9 of mashhad city which through the measures of education, income, and employment were respectively among the deprived, the average, and the privileged regions were selected as the case study areas. moreove...