Improving an image retrieval system by integrating semantic features

To develop image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper, it is presented an indexing schema of images and a simple semantic vocabulary that permits to the user to introduce the cognitive dimension in the retrieval process. A lo...

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Bibliographic Details
Published in2008 Conference on Human System Interactions pp. 504 - 509
Main Authors Ion, A.L., Stanescu, L., Burdescu, D., Udristoiu, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2008
Subjects
automatic image annotation
content-based image retrieval
Image color analysis
Image retrieval
Pixel
semantic image indexing
Shape
Spatial coherence
Visualization
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ISBN142441542X
9781424415427
ISSN2158-2246
DOI10.1109/HSI.2008.4581490

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Summary:To develop image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper, it is presented an indexing schema of images and a simple semantic vocabulary that permits to the user to introduce the cognitive dimension in the retrieval process. A lot of experiments, in which the human subjects had to group images into semantic categories and to explain the criteria for their choice, were realized. From these experiments, we identify the semantic categories (landscapes, animals, flowers, etc), the semantic indicators or intermediate descriptors and their visual characteristics.
ISBN:142441542X
9781424415427
ISSN:2158-2246
DOI:10.1109/HSI.2008.4581490