Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

This study compares lexical retrieval amongst monolinguals and intermediate bilinguals and advanced bilinguals. It also investigates the possible effects of their language learning strategies on their respective lexical retrieval advantage. The study used a mixed methods design and the groups consisted of 20 Persian near-monolinguals, 20 Persian-English intermediate level bilinguals, and 20 Per...

Search result visualization is a task performed by search engines that enables users to find their desired documents, in an effective and efficient manner. Image based summary or best images of a web document, displayed as a part of the visualization process, has become indispensable, as a human perceives images instantaneously. But, selection of the best image increases latency in search resul...

In this paper we address the problem of extracting the focused region and its use in retrieving similar images from a low depth of field image database. We compute the histogram of the local contrast at each pixel and model it as a mixture of two exponential distributions – one for the focused and the other for the defocused region. Unlike the mixture of Gaussian distributions, a mixture of exp...

Area morphology filters are capable of removing objects in an image based solely on the object area. These operators can be effectively used for content based image retrieval. However, the traditional level set based implementations of these operators are impractical because of their time complexities. Here we present a fast implementation of area morphology based on bitplane decomposition of t...

Information retrieval tasks such as document retrieval and topic detection and tracking (TDT) show little degradation when applied to speech recognizer output. We claim that the robustness of the process is because of inherent redundancy in the problem: not only are words repeated, but semantically related words also provide support. We show how document and query expansion can enhance that red...

The shape-based retrieval is defined as the operation that searches for the (sub)sequences whose shapes are similar to that of a query sequence regardless of their actual element values. In this paper, we propose a similarity model suitable for shape-based retrieval and present an indexing method for supporting the similarity model. The proposed similarity model enables to retrieve similar shap...