Results 141 to 150 of about 1,137 (158)

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).
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CBIR using Multi-level DWT

2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019
In the Content Based Image Retrieval (CBIR) technique requires features such as color, texture, shape and hybrid features. In this work texture based feature is used to retrieve the images from the database. In the first instance, intensity component is separated from the color image. DWT is applied on intensity matrix. Maximum valued coefficients from
K. Veera Swamy, N. Sravani, V. Radhika
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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, Mikuláš Krupička, Václav Čadek   +3 more
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Comparison of different CBIR techniques

2011 3rd International Conference on Electronics Computer Technology, 2011
Image retrieval is a poor stepchild to other forms of information retrieval (IR). Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision over the last decades. Content-Based Image Retrieval (CBIR) systems are used in order to automatically index, search, retrieve, and browse image databases.
Meenakshi Madugunki, D. S. Bormane, Sonali Bhadoria, C. G. Dethe   +3 more
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Relevance feedback based saliency adaptation in CBIR

Multimedia Systems, 2005
Content-based image retrieval (CBIR) has been under investigation for a long time, with many systems built to meet different application demands. However, in all systems there is still a gap between user expectations and system retrieval capabilities. Therefore, user interaction is an essential component of any CBIR system.
Nguyen, G.P., Worring, M.
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Soft Computing Based CBIR System

2009
Multimedia mining primarily involves, information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images.
Venugopal, K.R., Srinivasa, K.G., Patnaik, L.M.   +2 more
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Load Balancing Algorithms for CBIR environments

2003 IEEE International Workshop on Computer Architectures for Machine Perception, 2006
CBIR systems, which typically manage a great amount of multimedia information, need efficient implementations to give an answer in a proper response time. Distributed solutions on heterogeneous clusters offer a good cost/performance ratio to solve this problem. One of the critical parameters to be tuned is the load assigned to each of the cluster nodes.
J.L. Bosque, O.D. Robles, L. Pastor
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CBIR using fuzzy edge detection mask

Proceedings of the 2011 International Conference on Communication, Computing & Security - ICCCS '11, 2011
In this paper a novel method for an application of digital image processing, edge detection is developed using fuzzy logic. Content based image retrieval means retrieval of images from database on the basis of visual features of image like as color and texture.
Raju Barskar, Gulfishan Firdose Ahmed
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CBIR system based on texture characterization

2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE), 2013
The continuous development of communication technology and computers led to the creation of huge archives of multimedia data in various application areas such as medicine, entertainment, education and services online. This is similar to the increase in the amount of alpha-numeric data from the first appearance of computers, which led to the development
Nicoleta Angelescu, Popescu Dan, Marius Ionita Georgian   +2 more
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Data Mining-Based CBIR System

2016
Multimedia mining primarily involves information analysis and retrieval based on implicit knowledge. The ever increasing digital image databases on the internet has created a need for using multimedia mining on these databases for effective and efficient retrieval of images.
Shruti Kohli, Vijay Shankar Gupta
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