Results 131 to 140 of about 1,137 (158)

CBIR on Grids

2006
From the computational point of view, Content-based Im- age Retrieval systems are potentially expensive and have user response times growing with the ever-increasing sizes of the databases associated to them This paper presents a grid implementation of a Content-based Image Retrieval system that offers a good cost/performance ratio to solve this ...
Oscar D. Robles, José Luis Bosque, Luis Pastor, Ángel Rodríguez   +3 more
openaire   +1 more source

Map/Reduce in CBIR application

Proceedings of 2011 International Conference on Computer Science and Network Technology, 2011
Since the birth of the concept of Content Based Image Retrieval, it has been a hot issue of computer vision and pattern recognition subject. In the information age, with the rapid growth of the data, how can we retrieval image quickly and accurately from the vast amounts of image data become a problem.
null Liangliang Shi, null Bin Wu, null Bai Wang, null Xuguang Yan   +3 more
openaire   +1 more source

Improving CBIR systems using clusterization

2012 20th Telecommunications Forum (TELFOR), 2012
In this paper Content Based Image Retrieval (CBIR) system with user assistance for searching clustered image databases is presented. In the preprocessing phase a image database is clustered on class level, and represented with small number of images. By implementation of this system the initial search of the whole system is significantly reduced, and ...
Goran J. Zajic, Nenad S. Kojic, Marija B. Zajeganovic-Ivancic, Branimir D. Reljin   +3 more
openaire   +1 more source

Towards Automatic Detection of CBIRs Configuration

2012
Many Content Based Image Retrieval system s (CBIRs) have been invented in the last decade. The general mechanism of the search process is very similar for each of these CBIRs, and the calculation of rankings is determined by the comparison of features (low-, mid-, high-level).
Vilsmaier, Christian, Karp, Rolf, Döller, Mario, Kosch, Harald, Brunie, Lionel   +4 more
openaire   +1 more source

CBIR Systems: Techniques and Challenges

2020 International Conference on Communication and Signal Processing (ICCSP), 2020
The vigorous growth and continual intelligibility of visual information on the cyberspace have led to the richness of research projects in image search and retrieval. With the lack of concern on the visual contents of an image, the text based search techniques for image retrieval often suffers variability between the text words and visual content ...
Niveditha Arunkumar, A Ranjith Ram
openaire   +1 more source

Banknote Recognition as a CBIR Problem

2015
Automatic banknote recognition is an important aid for visually impaired users, which may provide a complementary evidence to tactile perception. In this paper we propose a framework for banknote recognition based on a traditional Content-Based Image Retrieval pipeline: given a test image, we first extract SURF features, then adopt a Bag of Features ...
SOSA GARCIA, JOAN, ODONE, FRANCESCA
openaire   +2 more sources

Extracting discriminative features for CBIR

Multimedia Tools and Applications, 2011
Developing low-dimensional discriminative features is crucial for content-based image retrieval (CBIR). In this paper, we present a square symmetrical local binary pattern (SSLBP) texture descriptor, which is a compact symmetrical-invariant variation of local binary pattern (LBP), then we propose a merging 2-class linear discriminant analysis (M2CLDA ...
Zhiping Shi, Xi Liu, Qingyong Li, Qing He, Zhongzhi Shi   +4 more
openaire   +1 more source

Toward a Personalized CBIR System

2002
A personalized CBIR system based on a unified framework of fuzzy logic is proposed in this study. The user preference in image retrieval can be captured and stored in a personal profile. Thus, images that appeal to the user can be effectively retrieved.
Chiu Chih-Yi, Lin Hsin-Chih, Yang Shi-Nine   +2 more
openaire   +1 more source

Enhancement of Semantics in CBIR

Third International Conference on Information Technology and Applications (ICITA'05), 2005
Although much research has been done in the area of content based image retrieval (CBIR), little progress has been made to fully implement an engine solely based on the search of image content. This paper examines one of the basic problems in pattern recognition which highlights the difficulty in the area of content understanding in CBIR, i.e.
null Ziqiang Feng, D. Tien
openaire   +1 more source

Meaningful regions segmentation in CBIR

Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005., 2005
In this paper, a new approach to fully automatic image segmentation is proposed to get the meaningful regions of general-purpose image. In order to avoid image over segmenting, the original input image is first smoothed by Gaussian filters with different scales.
null Shikui Wei, null Yao Zhao, null Zhenfeng Zhu   +2 more
openaire   +1 more source