Results 1 - 10 of 10,032

WINDSURF: a Region-Based Image Retrieval System

by Ilaria Bartolini, Paolo Ciaccia, Marco Patella - In DEXA Workshop , 2000
"... Content-based image retrieval systems characterize images by means of relevant features, such as color distribution and texture information, and then use such feature values to determine those images which are most similar to a query image. However, this approach is not adequate when images have ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Content-based image retrieval systems characterize images by means of relevant features, such as color distribution and texture information, and then use such feature values to determine those images which are most similar to a query image. However, this approach is not adequate when images have

Study on texture feature extraction in region-based image retrieval system

by Ying Liu, Dengsheng Zhangt, Guojun Lul, Wei-ying Ma - in: Proceedings of International Multimedia Modelling Conference (MMM2006 , 2006
"... Abstract image. In the right image, the 'sand ' region is usually what users are interested in. T'exture is an important feature to describe images. 7hough lots of work has been done for efficient texture feature extraction from rectangular images, no much ef,fort has been made in tex ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
in texture feature extraction from arhitrarv-shaped regions in region-based image retrieval (RBIR) svstem. In this paper, we present an efficient texture feature extraction algorithm for arbitrary-shaped Figurel. Interested region in image regions. This algorithm first extends an arbitrary-shaped region

SIMPLIcity: A Region-based Image Retrieval System for Picture Libraries and Biomedical Image Databases

by James Z. Wang , 2000
"... In this demonstration, we present SIMPLIcity, an image retrieval system for picture libraries and biomedical image databases. The system uses a wavelet-based approach for feature extraction, real-time region segmentation, the Integrated Region Matching #IRM# metric, and image classi#cation methods. ..."
Abstract - Cited by 9 (0 self) - Add to MetaCart
In this demonstration, we present SIMPLIcity, an image retrieval system for picture libraries and biomedical image databases. The system uses a wavelet-based approach for feature extraction, real-time region segmentation, the Integrated Region Matching #IRM# metric, and image classi#cation methods

A Genetic Programming Approach for Relevance Feedback in Region-based Image Retrieval Systems

by Jefersson Alex Dos Santos, Cristiano Dalmaschio Ferreira, Ricardo Da Silva Torres
"... This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user preferences and combine the region similarity values in a query session. Experiments demonstrate that the proposed method ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user preferences and combine the region similarity values in a query session. Experiments demonstrate that the proposed method

Region-Based Retrieval: Coarse Segmentation With Fine Color Signature

by Julien Fauqueur, Nozha Boujemaa - IEEE International Conference on Image Processing (ICIP , 2002
"... The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions. ..."
Abstract - Cited by 7 (4 self) - Add to MetaCart
The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions.

Frebir : Fuzzy region-based image retrieval

by Julien Gony - In IPMU , 2006
"... FReBIR is a region-based image retrieval system, in which images are represented as adjacency graphs of fuzzy regions. An algorithm of fuzzy segmentation is first described. An algorithm to match subgraphs of fuzzy regions is then applied in order to retrieve images from partial queries, taking into ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
FReBIR is a region-based image retrieval system, in which images are represented as adjacency graphs of fuzzy regions. An algorithm of fuzzy segmentation is first described. An algorithm to match subgraphs of fuzzy regions is then applied in order to retrieve images from partial queries, taking

Support Vector Machines For Region-Based Image Retrieval

by Feng Jing, Mingjing Li, Hong-jiang Zhang, Bo Zhang - IEEE Int. Conf. on Multimedia & Expo , 2003
"... In this paper, the application of support vector machines (SVM) in relevance feedback for region-based image retrieval is investigated. Both the one class SVM as a class distribution estimator and two classes SVM as a classifier are taken into account. For the latter, two representative display stra ..."
Abstract - Cited by 25 (1 self) - Add to MetaCart
strategies are studied. Since the common kernels often rely on inner product or Lp norm in the input space, they are infeasible in the region-based image retrieval systems that use variable-length representations. To resolve the issue, a new kind of kernel that is a generalization of Gaussian kernel

Region-Based Image Retrieval: Fast Coarse Segmentation and Fine Color Description

by Julien Fauqueur, Nozha Boujemaa - Journal of Visual Languages and Computing (JVLC), special issue on Visual Information Systems , 2003
"... The two major problems raised by a region-based image retrieval system are the automatic detection and visual description of regions. We adopt a coarse detection and fine description approach. In this paper we first present a new method of unsupervised coarse detection which provides intuitive and v ..."
Abstract - Cited by 16 (3 self) - Add to MetaCart
The two major problems raised by a region-based image retrieval system are the automatic detection and visual description of regions. We adopt a coarse detection and fine description approach. In this paper we first present a new method of unsupervised coarse detection which provides intuitive

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
), an image retrieval system, which uses semantics classification methods, a wavelet-based approach for feature extraction, and integrated region matching based upon image segmentation. As in other regionbased retrieval systems, an image is represented by a set of regions, roughly corresponding to objects

Region-based Image Retrieval with Perceptual Colors

by Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-ying Ma - In Proc. of Pacific-Rim Multimedia Conference (PCM2004 , 2004
"... Abstract. Due to the ‘semantic gap ’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from user’s expectation. In attempt to reduce the ‘semantic gap’, this paper introduces a region-based image retrieval ..."
Abstract - Cited by 10 (4 self) - Add to MetaCart
Abstract. Due to the ‘semantic gap ’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from user’s expectation. In attempt to reduce the ‘semantic gap’, this paper introduces a region-based image retrieval
Results 1 - 10 of 10,032