Results 91 to 100 of about 4,123 (220)

CBIR with RF: Which technique for which image

, 2013
In the current decade, we are witnessing a great interest in Content Based Image Retrieval (CBIR) together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the
Mostefai, Sihem, Belattar, Khadidja, Khadidja Belattar, Sihem Mostefai   +3 more
core   +1 more source

Review article: Measuring disease severity in inflammatory bowel disease – Beyond treat to target

Alimentary Pharmacology &Therapeutics, Volume 60, Issue 9, Page 1176-1199, November 2024.
Measuring disease severity in inflammatory bowel disease requires the consideration of multiple factors that contribute to the overall burden of illness. This may provide a more holistic disease assessment than measuring activity alone at a moment in time.
Akhilesh Swaminathan, Andrew S. Day, Miles P. Sparrow, Laurent Peyrin‐Biroulet, Corey A. Siegel, Richard B. Gearry   +5 more
wiley   +1 more source

A New Hybrid Texture-Perceptual Descriptor: Application CBIR

, 2014
International audienceContent based image retrieval (CBIR) has been the center of interest for a long time. A lot of research have been done to enhance the performance of these systems.
Revel, Arnaud, Vincent Courboulay, Awad, Dounia, Dounia Awad, Arnaud Revel, Courboulay, Vincent   +5 more
core   +1 more source

Application of CBIR in E-commerce

International Journal of Recent Technology and Engineering (IJRTE), 2020
The rise of technology and the rapidly increasing inventions in Science have completely changed many aspects of the world today. Many sectors such as communication, banking, media, etc. have gained momentum because of the internet. Online shopping is one such sector that has flourished in recent times because of the internet.
Shweta Sadwani, Vaibhavi Sangawar, Rushabh Sanap, Akanksha kakade, Minakshi N. Vharkate   +4 more
openaire   +1 more source

Data Mining-Based CBIR System

, 2018
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
Shruti Kohli, Vijay Shankar Gupta
core   +1 more source

A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing

Information, 2017
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and computation overheads have made the outsourcing of CBIR services attractive.
Dandan Liu, Jian Shen, Zhihua Xia, Xingming Sun   +3 more
doaj   +1 more source

Surveying the reality of semantic image retrieval

, 2005
An ongoing project is described which seeks to add to our understanding about the real challenge of semantic image retrieval. Consideration is given to the plurality of types of still image, a taxonomy for which is presented as a framework within which ...
Lewis, Paul, Sandom, Christine J., Enser, Peter G.B.   +2 more
core  

CBIR using Textural Feature

International Journal of Computer Applications, 2012
CBIR system focuses on retrieving images from the database; the system depends on the way the indexing is being implemented. The way or method in which an image is stored will affect how it will be retrieved later and which can save more storage space and improve the retrieval process.
B. D. Shinde, Parul S Arora Bhalotra, Nilam NGhuge   +2 more
openaire   +1 more source

MINING USER NAVIGATION PATTERNS FOR EFFICIENT RELEVANCE FEEDBACK FOR CBIR

, 2021
In today’s modernized world, content based image retrieval (CBIR) is considered as a bastion in image retrieval system. For making CBIR most suitable and productive technique, relevance feedback technique is used in conjunction with CBIR for producing ...
PROF. C. M. JADHAV, MR. SHINDE SURESH GOROBA   +1 more
core  

Mitigating cloud vulnerabilities using a blockchain platform

Frontiers in Blockchain
Content-Based Image Retrieval (CBIR) has become a critical technology for efficiently searching and retrieving images from large datasets based on their visual content.
Dina Zoughbi, Kavitha Venkatachalam
doaj   +1 more source