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retrieval scheme based on annotation keywords and visual content, which can benefit from the strength of text- and content-based retrieval. The system starts query triggered by some keywords, and further refines the retrieval result based on blobs and regions information. The first step is to complete semantic filtering with
representations. This work attempts to induce high level semantics from the low level descriptors of the images. In this paper, we propose a new approach that integrates techniques of salient, color and texture features. Our approach extracts interest salient regions that work as local descriptors. A greedy graph matching algorithm
When digitizing bound material like books or magazines, marginal noise appears along the page border. This noise consists of undesired text parts from the neighboring page and/or speckles that result from the binarization process. When a keyword based search is performed in a digitized collection, textual noise in
We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords. Association rules are learned through fuzzy
. Simon Wardley's Value Chain Map was used for investigation of Level 2. And diagrams with percentage ratio of different sets of Keywords Phrases were used for investigation of Level 3. Article is focused on regions of Eurasia and North Africa. The Study findings are following: among post-Soviet countries Russia shows
media can also be used to model the sentiments and opinions of different geographical regions, as well as provide a platform for organizing social movements. In this paper, we give an overview of our system, GeoContext, which models a stream from Twitter into topics and analyzes the geographical locations of the topics
existing data sources. This paper presents a methodology to crawl, process and filter tweets that are accessible by the public for free. Tweets are acquired from Twitter using the REST API in real time. The process of adaptive data acquisition establishes a dictionary of important keywords and their combinations that can
textual delimiters, keywords, constants or text patterns, which we call anchors, to create patterns for the target data regions and data records. We offer a polynomial data extraction algorithm, in which these patterns are checked against the page elements in a mixed bottom-up and top-down traverse of the DOM tree. The
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