Results 171 to 180 of about 4,998 (209)

Exploration and search-by-similarity in CBIR

16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2004
We deal with content-based image indexing and category retrieval in general databases. When large categories are searched, systems must explore the database. We introduce an interactive retrieval strategy designed for database exploration. The technique is based on a compound query and a dedicated similarity function.
Matthieu Cord, Jérôme Fournier, Sylvie Philipp-Foliguet   +2 more
openaire   +1 more source

Segmentation of natural images for CBIR

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
Examines the problem of segmenting colour images into homogeneous regions for use in content based image retrieval (CBIR) or object recognition in general. Low level features provide intensity, colour and texture characteristics across the entire image. From these feature vectors a measure of local homogeneity is obtained. Through iterative modelling a
Paul Stefan Williams, Michael D. Alder
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 0002, Xi Liu 0009, Qingyong Li, Qing He 0003, Zhongzhi Shi   +4 more
openaire   +2 more sources

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   +3 more sources

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.
Chih-Yi Chiu, Hsin-Chih Lin, Shi-Nine Yang   +2 more
openaire   +2 more sources

Query Techniques for CBIR

2015
One of the fundamental functionalities of a content-based image retrieval system (CBIR) is answering user queries. The survey of query types and examples of systems using these particular queries are presented here. For our CBIR, we prepared the dedicated GUI to construct user designed query (UDQ).
openaire   +1 more source

CBIR Service for Object Identification

2015
This paper proposes an architecture for an exact object detection system. The implementation as well as the communication between individual system components is detailed in the paper. Well known methods for feature detection and extraction were used. Fast and precise method for feature comparison is presented.
Josef Hák, Martin Klíma, Mikulás Krupicka, Václav Cadek   +3 more
openaire   +1 more source

A density clustering approach for CBIR system

2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016
Searching an image in a huge set of images became an important task in several domains such as crime, medicine, geology and so on. The task of retrieving images by their visual contents is called content-based image retrieval (CBIR) systems. These systems have to be fast, efficient and semantically similar.
Lacheheb Hadjer, Saliha Aouat
openaire   +1 more source

The Many Facets of Progressive Retrieval for CBIR

2008
Recently, progressive retrieval has been advocated as an alternate solution to multidimensional indexes or approximate techniques, in order to accelerate similarity search of points in multidimensional spaces. The principle of progressive search is to offer a first subset of the answers to the user during retrieval.
Bouteldja, Nouha, Gouet-Brunet, Valérie, Scholl, Michel   +2 more
openaire   +2 more sources

A Comparison of Relevance Feedback Strategies in CBIR

6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
Relevance feedback (RF) is considered to be very useful in reducing semantic gap and thus enhancing accuracy of a Content-Based Image Retrieval system. In this paper, we have given a brief overview of research done in this area with an emphasis on feature re-weighting approach, a popular RF technique.
Gita Das, Sid Ray
openaire   +1 more source