Results 1 to 10 of about 230,040 (300)
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.
Te-Yuan Liu +3 more
doaj +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
An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model. [PDF]
PLoS One, 2018 For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images from an image repository.
Jabeen S +5 more
europepmc +2 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
doaj +2 more sources
A Decade Survey of Content Based Image Retrieval Using Deep Learning [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 The content based image retrieval aims to find the similar images from a large scale dataset against a query image. Generally, the similarity between the representative features of the query image and dataset images is used to rank the images for ...
S. Dubey
semanticscholar +1 more source
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
Content-based image retrieval: A review of recent trends
Cogent Engineering, 2021 With the availability of internet technology and the low-cost of digital image sensor, enormous amount of image databases have been created in different kind of applications.
I. M. Hameed +2 more
semanticscholar +1 more source