Texture is widely used in CBIR, and there have been a number of studies over the years to establish which features are perceptually significant. However, it is still diSJicult to retrieve reliably images that the human user would agree are “similar”. This paper reviews a range of computational methods, and compares their performance in class@ing and retrieving imagesporn the Brodatz set. Their ...

We describe the outcome of an effort to understand the behavior of content-based image retrieval (CBIR) technology by examining the behavior of a CBIR system in response to carefully constructed input query images. This work is preliminary and only considers a single CBIR system, SIMPLIcity[4]. We chose this particular system for expediency. It is our intention to develop a methodology suitable...

Kurzfassung. Taking an inspiration from psychological studies of visual attention, the contribution of this paper lies in prediction of the critical points of the trajectory using the structure of a scene and physical motion model. On one side, we present our approach for video analysis that differs from traditional tracking techniques by predicting future states of the moving object rather tha...

This document presents a State Of the Art related to most popular products, tools and methods related to CBIR.

i. Introduction The study of text understanding and knowlegde extraction has been actively done by many researchers. The authors also studied a method of structured information extraction from texts without a global text analysis. The method is available for a comparatively sbort text such as a patent claim clause and an abstract of a technical paper. This paper describes tile outline of a meth...

Objective: To explore how content analysis can be used together with linking rules to link texts on assessment and intervention to the International Classification of Functioning , Disability and Health – version for children and youth (ICF-CY). Methods: Individual habilitation plans containing texts on assessment and intervention for children with disabilities and their families were linked to...

A model for the unsupervised segmentation and linguistic analysis of Arabic texts of Prophetic tradition (ḥadīṯs), SALAH, is proposed. The model automatically segments each text unit in a transmitter chain (isnād) and a text content (matn) and further analyses each segment according to two distinct pipelines: a set of regular expressions chunks transmitter chains in a graph labeled with the rel...

In this paper we address the problem of automatically enriching legal texts with semantic annotation, an essential pre–requisite to effective indexing and retrieval of legal documents. This is done through illustration of SALEM (Semantic Annotation for LEgal Management), a computational system developed for automated semantic annotation of (Italian) law texts. SALEM is an incremental system usi...

To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images into semantic categories based on trained pattern classifiers have become active research trends. In this paper, we present dual cascading learning frameworks that extract and combine intraimage and inter-class semant...

One of the challenges in image and video retrieval is the content-based retrieval of images and videos in the web. Less work has been done in this area, mainly due to scalability issues. For this reason, in this paper we investigate this problem by presenting tools for the characterization of the visual contents on specific web collections and a strategy for the search of faces in the web using...