Results 191 to 200 of about 2,978 (220)

An effective CBIR (Content Based Image Retrieval) approach using Ripplet transforms

2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), 2013
Content-based image retrieval (CBIR) approach allows the user to extract an image from a huge database based upon a query.An efficient and effective retrieval performance is achieved by choosing the best transform and classification techniques. However, the current transform techniques such as Fourier Transform, Cosine Transform, Wavelet Transform ...
C Bhuvaneswari
exaly   +2 more sources

Learning Semantics in Content Based Image Retrieval (CBIR) - A Brief Review

2010 Second Vaagdevi International Conference on Information Technology for Real World Problems, 2010
exaly   +2 more sources

Automatic Classification of Medical Images for Content Based Image Retrieval Systems (CBIR)

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2008
This paper describes the results after using an automatic classification method to help improve the retrieval of medical images. Using a large dataset of medical images, we established links between low-level features from medical images and high-level features from textual codes of Image Retrieval for Medical Application (IRMA).
Epaphrodite Uwimana, Miguel E Ruiz
openaire   +1 more source

Impact of feature selection on the performance of content-based image retrieval (CBIR)

2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb), 2014
CBIR is based on indexation of signatures that capture aspects of the image. In this paper, we propose a mechanism to weight the contribution of these signatures in the calculation of the final similarity between the query and the database images. This approach personalizes the search for each given query.
Slimane Benloucif, Bachir Boucheham
openaire   +1 more source

Content Based Image Retrieval (CBIR) for Brand Logos

2020
This thesis explores the problem of automatically detecting the presence of logos in general images. Brand logos carry the goodwill of a company and are considered to be of high value in the corporate world, and thus automatically determining whether or not a logo is present in an image can be of interest for companies ...
openaire   +1 more source

Content Based Image Retrieval: Survey and Comparison of CBIR System based on Combined Features

International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015
In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. In this paper, performance of various CBIR systems, based on combined feature i.e., color texture and shape, are compared.
Savita Gandhani, Nandini Singhal
openaire   +1 more source

Retrieval and recognition of faces using content-based image retrieval (CBIR) and feature combination method

2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2016
Face recognition is one of the most successful applications of image analysis and understanding and has gained much attention in last decades. In this paper, we purpose a simple and fast hybrid face recognition system based on CBIR and SVM. The Gabor wavelets (GW), Wavelet Transformation (WT), and principal component analysis (PCA) are used as feature ...
Ningthoujam Sunita Devi, K. Hemachandran
openaire   +1 more source

Multi-object face recognition using Content Based Image Retrieval (CBIR)

2017 International Conference on Electrical Engineering and Computer Science (ICECOS), 2017
Real-time face recognition system process divided into three steps, feature extraction, clustering, detection, and recognition. Each step uses a different method that is Local Binary Pattern (LBP), Agglomerative Hierarchical Clustering (AHC) and Euclidean Distance.
Muhammad Fachrurrozi, null Erwin, null Saparudin, null Mardiana   +3 more
openaire   +1 more source

Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques

2017
This chapter will focus on the concept of Content-based image retrieval. Searching of an image or video database based on text based description is a manual labor intensive process. Descriptions of the file are usually typed manually for each image by human operators because the automatic generation of keywords for the images is difficult without ...
openaire   +1 more source

An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction

2017
Today, modern technology led to a faster growth of digital media collection, and it contains both still images and videos. Storage devices contain large amount of digital images, increasing the response time of a system to retrieve images required from such collections, which degrades the performance.
P. Chandana, P. Srinivas Rao, C. H. Satyanarayana, Y. Srinivas, A. Gauthami Latha   +4 more
openaire   +1 more source