Results 1 - 10 of 5,118

Content-based image retrieval at the end of the early years

by Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, Ramesh Jain - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... The paper 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. Subsequent sections discuss computational steps for imag ..."
Abstract - Cited by 1618 (24 self) - Add to MetaCart
The paper 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. Subsequent sections discuss computational steps

An Interactive Framework for Content-Based Image Retrieval

by Azadeh Kushki , 2003
"... In recent years, numerous content-based image retrieval (CBIR) systems have been proposed for locating relevant information within visual databases. These systems rely on visual features such as colour and texture to represent and compare images. The possible mismatch between this low-level machine ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In recent years, numerous content-based image retrieval (CBIR) systems have been proposed for locating relevant information within visual databases. These systems rely on visual features such as colour and texture to represent and compare images. The possible mismatch between this low-level machine

Image retrieval: Current techniques, promising directions and open issues

by Yong Rui, Thomas S. Huang - Journal of Visual Communication and Image Representation , 1999
"... This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image fea ..."
Abstract - Cited by 507 (15 self) - Add to MetaCart
This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image

Content-based image retrieval with relevance feedback

by Yong Rui, Thomas S. Huang, Sharad Mehrotra - in MARS. In Image Processing, 1997. Proceedings., International Conference on , 1997
"... Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image ..."
Abstract - Cited by 331 (33 self) - Add to MetaCart
Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image

Image retrieval: ideas, influences, and trends of the new age

by Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang - ACM COMPUTING SURVEYS , 2008
"... We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger ass ..."
Abstract - Cited by 485 (13 self) - Add to MetaCart
We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

by James Z. Wang, Jia Li, Gio Wiederhold - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2001
"... The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries), an imag ..."
Abstract - Cited by 551 (35 self) - Add to MetaCart
The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present here SIMPLIcity (Semanticssensitive Integrated Matching for Picture LIbraries

Image Indexing Using Color Correlograms

by Jing Huang , S Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih , 1997
"... We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effective and inexpensive for content-based image retrieval. The correlogramrobustly tolerates large changesin appearance and ..."
Abstract - Cited by 442 (4 self) - Add to MetaCart
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effective and inexpensive for content-based image retrieval. The correlogramrobustly tolerates large changesin appearance

Automatic Image Annotation and Retrieval using Cross-Media Relevance Models

by J. Jeon, V. Lavrenko, R. Manmatha , 2003
"... Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based o ..."
Abstract - Cited by 431 (14 self) - Add to MetaCart
on content. Here, we propose an automatic approach to annotating and retrieving images based on a training set of images. We assume that regions in an image can be described using a small vocabulary of blobs. Blobs are generated from image features using clustering. Given a training set of images

Image classification for content-based indexing

by Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, Hong-jiang Zhang - IEEE TRANSACTIONS ON IMAGE PROCESSING , 2001
"... Grouping images into (semantically) meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Using binary Bayesian classifiers, we attempt to capture high-level concepts from low-level image features under the constraint that the ..."
Abstract - Cited by 227 (2 self) - Add to MetaCart
Grouping images into (semantically) meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Using binary Bayesian classifiers, we attempt to capture high-level concepts from low-level image features under the constraint

Content-based Image Retrieval . . .

by T. M. Deserno, S. Antani , L. Rodney Long , 2009
"... Objectives: An increasing number of articles are published electronically in the scientific literature, but access is limited to alphanumerical search on title, author, or abstract, and may disregard numerous figures. In this paper, we estimate the benefits of using contentbased image retrieval (CB ..."
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Objectives: An increasing number of articles are published electronically in the scientific literature, but access is limited to alphanumerical search on title, author, or abstract, and may disregard numerous figures. In this paper, we estimate the benefits of using contentbased image retrieval
Results 1 - 10 of 5,118