Results 151 to 160 of about 37,022,143 (186)

An introduction to content-based image retrieval

Eighth International Conference on Digital Information Management (ICDIM 2013), 2013
Content-based image retrieval (CBIR) extracts features from images to support image search. In this tutorial paper, we will review some of the basic CBIR algorithms that derive colour, texture and shape features, and will then show how image features can be extracted from the compressed domain, in particular from JPEG images, without the need of ...
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Content-based image retrieval methods

Programming and Computer Software, 2009
Creation of a content-based image retrieval system implies solving a number of difficult problems, including analysis of low-level image features and construction of feature vectors, multidimensional indexing, design of user interface, and data visualization.
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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
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Content based image retrieval with LIRe

Proceedings of the 19th ACM international conference on Multimedia, 2011
LIRe (Lucene Image Retrieval) is an open source library for content based image retrieval. Besides providing multiple common and state of the art retrieval mechanisms it allows for easy use on multiple platforms. LIRe is actively used for research, teaching and commercial applications.
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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, Palivela Kowshik, Kannan Srinathan, C. V. Jawahar   +3 more
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Content Based Image Retrieval for Unsegmented Images

2003
We present a new method for image retrieval by shape similarity able to deal with real images with not uniform background and possible touching/occluding objects. First of all we perform a sketch-driven segmentation of the scene by means of a Deformation Tolerant version of the Generalized Hough Transform (DTGHT). Using the DTGHT we select in the image
M. ANELLI, A. MICARELLI, SANGINETO E
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Image Retrieval Based on Query by Saliency Content

Digital Signal Processing, 2015
In this research study we propose the query by saliency content retrieval (QSCR) image retrieval method which is based on human visual attention models. The proposed methodology represents a bottom-up approach considering the human attention, both locally at the level of image regions as well as globally, for the entire image. In the proposed retrieval
Alex Papushoy, Adrian G. Bors
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Content image retrieval based on topological information

Journal of Visual Languages & Computing, 2004
Abstract In this paper a novel scheme for representing topological features extracted from image database is proposed. The scheme utilizes a geometry-based structure that represents each image by means a string containing information on a polygonal associated with the pictorial scene.
F. CANNAVALE, CASANOVA, ANDREA, FRASCHINI, MATTEO, V. SAVONA   +3 more
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Content-Based Image Retrieval for Medical Image

2015 11th International Conference on Computational Intelligence and Security (CIS), 2015
In this paper, the SIMPLIcity (Semantics-sensitive Integrate Matching for Picture Libraries), an image retrieval system is introduced. The feature extraction is based on Histogram, color layout and coefficients of wavelet transform. This retrieving system adopts feature database for matching so as to reduce the search space which is especially useful ...
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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.
Igor Marinovic, Igor Furstner
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