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This paper presents a model that aims to support the visualization of the knowledge stored in digital repositories through semantic images.
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Based on their semantics, we present a set of techniques for annotating images and querying image data sets. The unification of semantic annota tion (using a ...
Fingerprint. Dive into the research topics of 'A model for knowledge retrieval based on semantic images'. Together they form a unique fingerprint.
In this paper, we propose an image retrieval system integrating semantic and visual features. The idea is to automatically build a modular ontology for semantic ...
It consists of a multidimensional vector in which each element represents the frequency of a unique visual property of an image or a region thereof. VCD ...
This analysis work provides the numerical evaluation of each technique used to retrieve the multimedia content from the web engines with the semantic ...
The k-Nearest Neighbor (k-NN) algorithm is used to classify a set of similar images that are retrieved on Graph-CTree to create a set of visual words. An ...
Sep 12, 2016 · A novel RBM-based model is proposed to learn the semantic knowledge and subject appearance within image sets by encoding both facial ...
Jul 13, 2023 · In this work, a framework for image retrieval based on machine learning and semantic retrieval is proposed. In the preprocessing phase, the ...
Semantic modeling stands for the classification of image regions into concept classes such as rocks, water or sand and the scene retrieval based on this ...
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