Results 211 to 220 of about 64,555 (258)

Reliability of foundation models for image retrieval in histopathology. [PDF]

open access: yesNpj Imaging
Shafique A   +6 more
europepmc   +1 more source

Localized content based image retrieval

Proceedings 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   +2 more sources

Content-Based Image Retrieval in Astronomy

Information Retrieval, 2000
Summary: Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information should be summarized and indexed for this specific kind of images.
AndrĂ© Csillaghy   +2 more
openaire   +2 more sources

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   +3 more sources

Content based image and video retrieval

SPIE Proceedings, 2010
The growing capacity of computers, the abundance of digital cameras and the increased connectivity of the world all point to large digital multimedia archives. They include images and videos from the World Wide Web, museum objects, flowers, trademarks, and views from everyday life.
Shubhangi H. Patil   +4 more
openaire   +1 more source

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   +1 more source

Prefetching for content-based image retrieval

Proceedings. IEEE International Conference on Multimedia and Expo, 2003
Currently, research on content-based image retrieval (CBIR) is focused on the improvement of retrieval performance using relevance feedback techniques. However, for the remote user, retrieval latency is also a critical metric of satisfaction. In this paper, we show how to integrate the prefetching mechanism into the CBIR system in order to reduce ...
Janghyun Yoon, Nikil Jayant
openaire   +2 more sources

Content Based Image Retrieval with Hadoop

2016
Hadoop has become a widely used open source framework for large scale data processing. MapReduce is the core component of Hadoop. It is this programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. It allows processing of extremely large video files or image files on data nodes.
Heba Gaber   +3 more
openaire   +1 more source

Private Content Based Image Retrieval

2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the image to the database. Private content based image retrieval (PCBIR) deals with retrieving similar images from an image database without revealing the content of the query ...
Jagarlamudi Shashank   +3 more
openaire   +1 more source

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