NDLI: Coordinated Multiple Views to Support Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Medeiros Eler, D. Prates, J.M. Garcia, R.E. Minghim, R.
Copyright Year	2014
Description	Author affiliation: Fac. de Cienc. e Tecnol., Dept. de Mat. e Comput., UNESP (Univ. Estadual Paulista), Presidente Prudente, Brazil (Medeiros Eler, D.; Prates, J.M.; Garcia, R.E.) \|\| ICMC, USP-Univ. of Sao Paulo, Sao Carlos, Brazil (Minghim, R.)
Abstract	The number of images available has grown over the years, as well as the number of techniques to aid to organizing and retrieving from image collections. Techniques and systems have been proposed to recover images based on query, in which an image (or words) is used as input parameter and a list of similar images (or images with related text content) is recovered. However, understanding how the retrieved images are related to each other remains as a problem. This paper proposes an approach based on multidimensional visualization and coordination techniques to show the relationship from retrieved images. In this approach, coordination techniques are employed to perform image retrieval methods and highlight the results in visual representations, showing how retrieved images are relate. To evaluate our proposal image collections with and without textual annotations related to each image were used, and also image retrieval mechanisms based on distance, topic and semantic to retrieve images from distinct and multimodal datasets.
Starting Page	139
Ending Page	144
File Size	959649
Page Count	6
File Format	PDF
ISBN	9781479941032
ISSN	15506037
DOI	10.1109/IV.2014.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-16
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Image retrieval Ontologies Data visualization Semantics Biomedical imaging Feature extraction Multimodal Dataset Image Retrieval Coordinated Multiple Views Linked Views Coordination Techniques
Content Type	Text
Resource Type	Article

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