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Content-based image retrieval for fabric images: A survey
Indonesian Journal of Electrical Engineering and Computer Science, 2021 In <span>recent years, a great deal of research has been conducted in the area of fabric image retrieval, especially the identification and classification of visual features. One of the challenges associated with the domain of content-based image retrieval (CBIR) is the semantic gap between low-level visual features and high-level human ...
Silvester Tena +2 more
openaire +3 more sources
Retrieving biomedical images through content-based learning from examples using fine granularity [PDF]
, 2012 Session: Data Mining IITraditional content-based image retrieval methods based on learning from examples analyze and attempt to understand high-level semantics of an image as a whole.
Jiang, H, Lau, FCM, Xu, S
core +1 more source
Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet +4 more
doaj +1 more source
CONTENT BASED IMAGE RETRIEVAL [PDF]
, 2020 Content Based Image Retrieval is an interesting and most emerging field in the area of ‘Image Search’, finding similar images for the given query image from the image database.
KHUTWAD, HARSHADA ANAND +1 more
core +1 more source
Content-based fauna image retrieval system [PDF]
, 2017 Many animal species exist in this world and there are always new species being discovered each year. Therefore, it is very important that these valuable species be documented properly to be referred to in future.
Mustaffa, Mas Rina, Wong, San San
core +1 more source
Deep Learning for Content-Based Image Retrieval: A Comprehensive Study
ACM Multimedia, 2014 Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval (CBIR) system.
Ji Wan +6 more
semanticscholar +1 more source
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval [PDF]
arXiv, 2022 This paper addresses the problem of semantic-based image retrieval of natural scenes. A typical content-based image retrieval system deals with the query image and images in the dataset as a collection of low-level features and retrieves a ranked list of images based on the similarities between features of the query image and features of images in the ...
arxiv
NNk networks for Content-Based Image Retrieval [PDF]
, 2004 This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a directed graph.
B. Bollobás +10 more
core +2 more sources
Deep Image Retrieval is not Robust to Label Noise [PDF]
arXiv, 2022 Large-scale datasets are essential for the success of deep learning in image retrieval. However, manual assessment errors and semi-supervised annotation techniques can lead to label noise even in popular datasets. As previous works primarily studied annotation quality in image classification tasks, it is still unclear how label noise affects deep ...
arxiv
Content-Based Image Retrieval Research
Physics Procedia, 2011 AbstractWith the development of multimedia technology, the rapid increasing usage of large image database becomes possible. To carry out its management and retrieval, Content-Based Image Retrieval (CBIR) is an effective method. This paper shows the advantage of content-based image retrieval system, as well as key technologies.
Guoyong Duan, Jing Yang, Yilong Yang
openaire +2 more sources