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Selection and combination of unsupervised learning methods for image retrieval
(2017-06-19)
The evolution of technologies to store and share images has made imperative the need for methods to index and retrieve multimedia information based on visual content. The CBIR (Content-Based Image Retrieval) systems are ...
HTS: A new shape descriptor based on Hough Transform
(2013-09-09)
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental ...
A correlation graph approach for unsupervised manifold learning in image retrieval tasks
(2016-10-05)
Effectively measuring the similarity among images is a challenging problem in image retrieval tasks due to the difficulty of considering the dataset manifold. This paper presents an unsupervised manifold learning algorithm ...
Combining Re-ranking And Rank Aggregation Methods For Image Retrieval
(SpringerDordrecht, 2016)
PIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIES
(Ieee, 2019-01-01)
The support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals ...
Pixelwise Time Series Retrieval in Phenological Studies
(2019-07-01)
The support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals ...
Multimodal retrieval with relevance feedback based on genetic programming
(SpringerDordrechtHolanda, 2014)
Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
(2018-03-01)
Performing effective image retrieval tasks, capable of exploiting the underlying structure of datasets still constitutes a challenge research scenario. This paper proposes a novel manifold learning approach that exploits ...
Wavelet-based fingerprint image retrieval
(Elsevier Science BvAmsterdamHolanda, 2009)