Results 71 to 80 of about 545,128 (187)
Combined global and local semantic feature–based image retrieval analysis with interactive feedback
Measurement + Control, 2020 Nowadays, user expects image retrieval systems using a large database as an active research area for the investigators. Generally, content-based image retrieval system retrieves the images based on the low-level features, high-level features, or the ...
A Anandh, K Mala, R Suresh Babu
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Image retrieval: Image retrieval in medicine: The ImageCLEF medical image retrieval evaluation [PDF]
Bulletin of the American Society for Information Science and Technology, 2007 William Hersh, Henning Müller
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Face Image Retrieval System Based on Spark Platform [PDF]
Jisuanji gongcheng, 2018 Traditional face image retrieval technology has lower retrieval efficiency when processing large-scale image data.Aiming at this problem,a face retrieval system based on Bag-of-Visual-Words(BoVW) model and Spark distributed platform is constructed in ...
CHEN Xinquan,CHEN Xiaodong,JIANG Linhua
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İçerik Tabanlı Görüntü Erişimi / Content-Based Image Retrieval
Bilgi Dünyası, 2005 Digital image collections are expanding day by day, and image retrieval becomes even harder. Both individuals and institutions encounter serious problems when building their image archives and later when retrieving the archived images. Visual information
İrem Soydal, Umut Al, Umut Sezen
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Deep Supervised Hashing by Fusing Multiscale Deep Features for Image Retrieval
InformationDeep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable ...
Adil Redaoui +2 more
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, 2010 Information retrieval access research is based on evaluation as the main vehicle of research: benchmarking procedures are regularly pursued by all contributors to the field. But benchmarking is only one half of evaluation: to validate the results the evaluation must include the study of user behaviour while performing tasks for which the system under ...
Karlgren, Jussi, Gonzalo, Julio
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, 2019 This (German) bachelor thesis discusses to what extent the feature color helps for content-based image retrieval. It analyses the use of different color spaces as well as different spatial segmentations of the image. It seems that color alone is not a very helpful feature for content-based image retrieval.
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Image retrieval based on the feature of VLAD and sparse representation
Dianxin kexue, 2016 In order to achieve the goal of fast and accurate image retrieval,an image retrieval method combining VLAD （vector of locally aggregated descriptor）feature and sparse representation was proposed.
Wen YAN, Wei JIN, Randi FU
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Introducing an efficient method for feature extraction in image retrieval systems. [PDF]
Sci RepZhao X, He F, Li K.
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Integrating semantic and content features into bloom filters for efficient image retrieval. [PDF]
Sci RepQamar AM +3 more
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