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Wavelet-based fingerprint image retrieval
(Scopus, 2009)
This paper presents a novel approach for personal identification based on a wavelet-based fingerprint retrieval system which encompasses three image retrieval tasks, namely, feature extraction, similarity measurement, and ...
Region-based image retrieval using color and texture features on irregular regions of interest
(Institute of Electrical and Electronics Engineers Inc., 2015)
The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however many of this systems are likely to fail due to use global features which cannot ...
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)
Combining global with local texture information for image retrieval applications
(Scopus, 2008)
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images. At a higher level, the global macro-features ...
Unsupervised distance learning by reciprocal kNN distance for image retrieval
(2014-01-01)
This paper presents a novel unsupervised learning approach that takes into account the intrinsic dataset structure, which is represented in terms of the reciprocal neighborhood references found in different ranked lists. ...
Unsupervised distance learning by rank correlation measures for image retrieval
(2015-06-22)
Ranking accurately collection images is the main objective of Content-based Image Retrieval (CBIR) systems. In fact, the set of images ranked at the first positions generally defines the effectiveness of provided search ...
Bag of genres for video retrieval
(Inst Pesca, 2016)
Often, videos are composed of multiple concepts or even genres. For instance, news videos may contain sports, action, nature, etc. Therefore, encoding the distribution of such concepts/genres in a compact and effective ...
A multi-level rank correlation measure for image retrieval
(2021-01-01)
Accurately ranking the most relevant elements in a given scenario often represents a central challenge in many applications, composing the core of retrieval systems. Once ranking structures encode relevant similarity ...