Results 321 to 330 of about 678,145 (379)
Some of the next articles are maybe not open access.

A Machine Learning Model for Content-Based Image Retrieval

2023 2nd International Conference for Innovation in Technology (INOCON), 2023
With advancement in the modern era, digital data is the new asset. Now making large image datasets is not that laborious task with improvement in image collection and data storage technology.
Kunal   +3 more
semanticscholar   +1 more source

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT.

Radiology, 2021
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires experience and is subject to substantial interreader variability. Purpose To investigate whether a proposed content-based image retrieval (CBIR) of similar
J. Choe   +15 more
semanticscholar   +1 more source

Localized content based image retrieval [PDF]

open access: possibleProceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, 2005
We define localized content-based image retrieval as a CBIR task where the user is only interested in a portion of the image, and the rest of the image is irrelevant. In this paper we present a localized CBIR system, Accio, that uses labeled images in conjunction with a multiple-instance learning algorithm to first identify the desired object and ...
Rouhollah Rahmani   +4 more
openaire   +3 more sources

Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
Presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap.
A. Smeulders   +4 more
semanticscholar   +1 more source

Relevance feedback: a power tool for interactive content-based image retrieval

IEEE Trans. Circuits Syst. Video Technol., 1998
Content-based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many systems built.
Y. Rui   +3 more
semanticscholar   +1 more source

Faceted Content-Based Image Retrieval

2008 19th International Conference on Database and Expert Systems Applications, 2008
In typical content-based image retrieval systems it is not possible to navigate the image space by simultaneously applying multiple similarity criteria. The model we propose addresses this problem by representing the search for the images similar to a given image as the exploration of a lattice of (non-disjoint) image clusters, induced by a natural ...
Amato G, Meghini C
openaire   +4 more sources

Content-based image retrieval

2008 6th International Symposium on Intelligent Systems and Informatics, 2008
A picture is worth a thousand words. Yes, but which ones? Content-based image retrieval (CBIR) is the application of computer vision to the image retrieval problem. The image retrieval problem is the problem of searching for digital images in large databases.
I. Marinovic, Igor Fürstner
openaire   +2 more sources

Multistage content-based image retrieval

2012 CSI Sixth International Conference on Software Engineering (CONSEG), 2012
Content based image retrieval has found its application in many areas like government, academia and hospitals. A new image retrieval technique is presented in this paper, which retrieve similar images in stages. The images are first retrieved based o n their colour feature similarity.
Vipin Tyagi, Nishant Shrivastava
openaire   +3 more sources

Content-Based Image Retrieval

1995
As more and more image data are acquired and assume the role of “first-class citizens” in information technology, managing and manipulating them as images becomes an important issue to be resolved before we can take full advantage of their information content [CH92]. Image database and visual information system technologies have become major efforts to
Stephen W. Smoliar   +2 more
openaire   +2 more sources

Content-based image retrieval

SPIE Proceedings, 2010
Large collection of information is being created in many areas of modern life on daily basis. This information exists in many forms from plain text to high resolution multimedia. Today computers are many times faster than human in text based searching using keywords and indexing but the story is totally different in case of multimedia.
openaire   +2 more sources

Home - About - Disclaimer - Privacy