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The Use of QBIC Content-Based Image Retrieval System [PDF]

Journal of Library and Information Studies, 2004
The fast increase in digital images has caught increasing attention on the development of image retrieval technologies. Content-based image retrieval (CBIR) has become an important approach in retrieving image data from a large collection.
Ching-Yi Wu, Lih-Juan Chan Lin, Yuen-Hsien Tseng   +2 more
doaj  

An Investigation in Applying Image Retrieval Techniques to X-Ray Engineering Pictures

Using image retrieval techniques in analysing Non-destructive testing reults is a new challenge in both computing science and engineering applications.
Lu, Joan, Pein, Raoul Pascal, Stav, John Birger, Uran, Miro   +3 more
core  

CONTENT BASED IMAGE RETRIEVAL (CBIR): REVIEW AND CHALLENGES

, 2017
<p>Content based image retrieval (CBIR) from large resources has become an area of wide interest nowadays in many applications. CBIR is very useful in several applications such as medical imaging, modern diagnosis, remote sensing and satellite ...
Nitisha Soni, M.Tech. (IT) Scholar* & Latika Pinjarkar, Sr. Associate Professor (IT)
core   +1 more source

CBIR System Based On Prediction Errors

, 2017
Content-Based Image Retrieval (CBIR) systems are widely used for local as well as for remote applications such as telemedicine, satellite image transmission and image search engines. The existing CBIR systems suffer from the limitations of storage space,
Ahamed Ayoobkhan, Mohamed Uvaze, Eswaran, Chikkannan, Ramakrishnan, Kannan   +2 more
core  

Evaluating boundary conditions and hierarchical visualization in CBIR

, 2019
Multiple descriptors are employed to represent images in Content-Based Image Retrieval (CBIR) systems. Each descriptor consists of a feature extractor associated with a distance function.
Lebbah, M., Erra, U., Ursyn, A., Nakayama, M., Bannatyne, MWM, Trutschl, M., Kernbach, S., Caruccio, L., Real, Luiz Gustavo S. [UNESP], Datia, N., Venturin, G., Mueller, H., Risi, M., Francese, R., Azzag, H., Bueno, Renato, Rossano, V, Vitiello, A., Wyeld, T. G., Ribeiro, Marcela X., Cvek, U., Bouali, F., Sarfraz, M., Banissi, E.   +23 more
core   +1 more source

Use of Deep Learning in Content-Based Image Retrieval (CBIR)

In the world of computer vision and data retrieval, a crucial task is finding images within a database based on their visual content. This is known as content-based image retrieval (CBIR).
Das, Angelina
core  

VISTO: A new CBIR system for vector images

, 2010
In this paper, we present the main features of VISTO (Vector Image Search TOol), a new content-based image retrieval (CBIR) system for vector images. Though unsuitable for photo-realistic imagery, vector graphics are continually becoming more advanced ...
FRIGIONI, DANIELE, TANIA DI MASCIO, TARANTINO, Laura   +2 more
core   +1 more source

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 ...
Srinivasa, K.G., Venugopal, K.R., Patnaik, L.M.   +2 more
core  

A Survey of CBIR System

Content based image retrieval is one of the most important field of object recognization.  It can be used to identify the object based upon its color, pattern, shape properties of an image.  In earlier days they are based upon these properties the images are classified.
openaire   +2 more sources

Mining User Navigation Patterns For Efficient Relevance Feedback For Cbir

, 2017
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 ...
JADHAV, P. C. (PROF), GOROBA, M. S. (MR)
core