Results 161 to 170 of about 6,778 (208)

Comparative Study on Content-Based Image Retrieval (CBIR)

2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2012
The process of retrieving desired images from a large collection is widely used in applications of computer vision. In order to improve the retrieval performance an efficient and accurate system is required. Retrieving images based on the content i.e. color, texture, shape etc is called content based image retrieval (CBIR).
Sumaira Muhammad Hayat Khan, Ayyaz Hussain, Imad Fakhri Taha Alshaikhli   +2 more
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

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

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 ...
N. Sasheendran, C. Bhuvaneswari
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 ...
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Content-based image retrieval from videos using CBIR and ABIR algorithm

2015 Global Conference on Communication Technologies (GCCT), 2015
Content-based video retrieval is very interesting point where it can be used in our daily life. Video retrieval is regarded as one of the most important in multimedia research. The development of multimedia data types there is demand of video retrieval system.
Vrushali A. Wankhede, Prakash S. Mohod
openaire   +1 more source

Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR)

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015
This paper presents a study on the effectiveness of hierarchical clustering techniques application and classification for imaging context in the Content-Based Image Retrieval (CBIR). The study has the purpose to compare the obtained results from using different hierarchical clustering algorithms with various input parameters and configurations using ...
Radu Andrei Stefan, Ildiko-Angelica Szoke, Stefan Holban   +2 more
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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

Image background search: combining object detection techniques with content-based image retrieval (CBIR) systems

Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99), 2003
A framework for combining object detection techniques with a content based image retrieval (CBIR) system is discussed. As an example, a special CBIR system which focuses on human faces as foreground and decides the similarity of images based on background features is presented.
R. Srihari, null Zhongfei Zhang, null Aibing Rao   +2 more
openaire   +1 more source