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GIF Image Retrieval in Cloud Computing Environment

Reyes, Evelyn Lissete Paiz; de Lima, Nadile Nunes; Yildirim, Sule
Journal article, Peer reviewed
Accepted version
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Paiz-Reyes (798.9Kb)
URI
http://hdl.handle.net/11250/2590179
Date
2018
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  • Institutt for datateknologi og informatikk [7360]
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [2777]
  • Publikasjoner fra CRIStin - NTNU [41881]
Original version
Lecture Notes in Computer Science. 2018, 10882 LNCS 261-268.   10.1007/978-3-319-93000-8_30
Abstract
GIF images have been used in the last years, especially on social media. Here it is explored a content-based image retrieval system to work specifically with GIF file format. Its implementation is extended to a cloud computing environment. Given the Tumblr GIF dataset, it is created a “search by example” image retrieval system. To describe the images, low-level features are used: (1) color, (2) texture and (3) shape. The system performs the search using just GIF images as query images. To obtain faster results on the retrieval process, a hashing indexing approach is used. The system showed a complexity of O(n2) for indexing and O(log(n)) for retrieval. Additionally, better results were obtained (in relation to precision and recall) for simple images, instead of images with a lot of movements.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Journal
Lecture Notes in Computer Science

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