منابع مشابه
Image retrieval using visual attention
Author: Liam M. Mayron Title: Image retrieval using visual attention Institution: Florida Atlantic University Dissertation Advisor: Dr. Oge Marques Degree: Doctor of Philosophy Year: 2008 The retrieval of digital images is hindered by the semantic gap. The semantic gap is the disparity between a user’s high-level interpretation of an image and the information that can be extracted from an image...
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Saliency methods are recent trends in content based image retrieval usually saliency detection are categorized into bottom-up and top-down approaches. A bottom-up visual saliency model, known as Graph-Based Visual Saliency (GBVS), proposed by Jonathan Harel, It consists of two steps: first forming activation maps on certain feature channels, and then normalizing them in a way which highlights c...
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In this research, we have proposed semantic based image retrieval system to retrieve set of relevant images for the given query image from the Web. We have used global color space model and Dense SIFT feature extraction technique to generate visual dictionary using proposed quantization algorithm. The images are transformed into set of features. These features are used as inputs in our proposed...
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The use of visual features in text-based ad-hoc image retrieval is challenging. Visual and textual information have so far been treated equally in terms of their properties and combined with weighting mechanisms for balancing their contributions to the ranking. The use of visual and textual information in a single retrieval system sometimes limits its applicability due to the lack of modularity...
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In the commercial use of picture collections, a heavy dependency continues to be exhibited on a concept-based image retrieval paradigm in which the query is verbalised by the client and resolved as a metadata text-matching operation. The practical and philosophical challenges posed by the indexing aspect of image metadata construction are significant and frequently expressed. Nevertheless, it h...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2019
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2019.0100361