Results 1 to 10 of about 61,142 (255)
Neuromorphic computing for content-based image retrieval. [PDF]
PLoS One, 2022 Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency.
Liu TY +3 more
europepmc +5 more sources
Content-Based Histopathological Image Retrieval
SensorsFeature descriptors in histopathological images are an important challenge for the implementation of Content-Based Image Retrieval (CBIR) systems, an essential tool to support pathologists.
Camilo Nuñez-Fernández +2 more
doaj +3 more sources
Survey of Deep Feature Instance Level Image Retrieval Algorithms [PDF]
Jisuanji kexue yu tansuo, 2023 Content-based image retrieval algorithm (CBIR) aims to find semantically matching or similar images with query images. It analyzes visual content in a large number of image databases. It is important to obtain discriminant image representation by feature
JI Changqing, WANG Bingbing, QIN Jing, WANG Zumin
doaj +1 more source
CONTENT-BASED IMAGE RETRIEVAL: SURVEY [PDF]
Journal of Engineering and Sustainable Development, 2019 Extensive use of digital photographic devices has resulted in large volumes of digital images being acquired and stored in databases. Whether it is for scientific research, medical or social networking, there is a growing demand for effective retrieval ...
Hanan Ahmed Al-Jubouri
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Content Based Image Retrieval [PDF]
International Journal of Trend in Scientific Research and Development, 2019 Content-based image retrieval is the application of computer vision. This techniques is used due to the image retrieval problem, that is, the problem of searching of digital images in large databases. This paper presents a review of fundamental aspects of content based image retrieval including feature extraction of color on image, indexing dataset and
Dr. Aziz Makandar +2 more
openaire +2 more sources
Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021 Searching for an image in a database is important in different applications; hence, many algorithms have been proposed to identify the contents of the image.
Mohammad A. N. Al-Azawi
doaj +1 more source
Content-based Image Retrieval Speedup [PDF]
2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2019 Content-based image retrieval (CBIR) is a task of retrieving images from their contents. Since retrieval process is a time-consuming task in large image databases, acceleration methods can be very useful. This paper presents a novel method to speed up CBIR systems.
Fadaei, Sadegh +2 more
openaire +2 more sources
Explainable, interactive content‐based image retrieval
Applied AI Letters, 2021 Quantifying the value of explanations in a human‐in‐the‐loop (HITL) system is difficult. Previous methods either measure explanation‐specific values that do not correspond to user tasks and needs or poll users on how useful they find the explanations to ...
Bhavan Vasu +4 more
doaj +1 more source
IEEE Access, 2023 In the era of massive data production through the internet and social media, the volume of images generated is immense. Storing and retrieving relevant images efficiently pose significant challenges.
Divya Srivastava +5 more
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IET Image Processing, 2023 Content‐based image retrieval (CBIR) is the problem of searching for items in an image database that are similar to the query image. Most of the existing image retrieval methods are trained based on metric learning loss functions (e.g.
Jinliang Yao +3 more
doaj +1 more source