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http://dx.doi.org/10.6109/jicce.2021.19.1.36

Metadata Processing Technique for Similar Image Search of Mobile Platform  

Seo, Jung-Hee (Department of Computer Engineering, Tongmyong University)
Publication Information
Journal of information and communication convergence engineering / v.19, no.1, 2021 , pp. 36-41 More about this Journal
Abstract
Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.
Keywords
Content-based image retrieval; EXIF metadata; Feature extraction; SIFT; Text-based image retrieval;
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