Results 31 to 40 of about 6,778 (208)

A parallel content-based image retrieval system using spark and tachyon frameworks

open access: yesJournal of King Saud University: Computer and Information Sciences, 2021
With the huge increase of large-scale multimedia over Internet, especially images, building Content-Based Image Retrieval (CBIR) systems for large-scale images has become a big challenge.
Saliha Mezzoudj   +3 more
doaj   +1 more source

THE NEW NOTION DISTANCE OF CONTENT BASED IMAGE RETRIEVAL (CBIR) [PDF]

open access: yesJournal of the Indonesian Mathematical Society, 2010
This paper proposes a new notion distance on the CBIR process whichis derived from the measure of multivariate dispersion called vector variance (VV).The minimum vector variance (MVV) estimator is robust estimator having the highbreakdown point. The CBIR is a retrieval technique using the visual informationby retrieving collections of digital images ...
Dyah E. Herwindiati   +2 more
openaire   +1 more source

Watermarking protocol for protecting user\u27s right in content based image retrieval [PDF]

open access: yes, 2009
Content based image retrieval (CBIR) is a technique to search for images relevant to the user’s query from an image collection.In last decade, most attention has been paid to improve the retrieval performance.
Ye, Lei, Zhang, Jun
core   +2 more sources

Image retrieval using noisy query [PDF]

open access: yes, 2009
In conventional content based image retrieval (CBIR) employing relevance feedback, one implicit assumption is that both pure positive and negative examples are available. However it is not always true in the practical applications of CBIR. In this paper,
Ye, Lei, Zhang, Jun
core   +2 more sources

Content-based Image Retrieval (CBIR) using Hybrid Technique

open access: yesInternational Journal of Computer Applications, 2013
retrieval is used in searching for images from images database. In this paper, content - based image retrieval (CBIR) using four feature extraction techniques has been achieved. The four techniques are colored histogram features technique, properties features technique, gray level co- occurrence matrix (GLCM) statistical features technique and hybrid ...
Nabeel Jameel Tawfiq   +2 more
openaire   +1 more source

Image retrieval based on bag of images [PDF]

open access: yes, 2009
Conventional relevance feedback schemes may not be suitable to all practical applications of content-based image retrieval (CBIR), since most ordinary users would like to complete their search in a single interaction, especially on the web search.
Ye, Lei, Zhang, Jun
core   +2 more sources

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

open access: yesJournal 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   +2 more
doaj  

A Novel Technique for Shape Feature Extraction Using Content Based Image Retrieval

open access: yesMATEC Web of Conferences, 2016
With the advent of technology and multimedia information, digital images are increasing very quickly. Various techniques are being developed to retrieve/search digital information or data contained in the image.
Dhanoa Jaspreet Singh, Garg Anupam
doaj   +1 more source

Content Based Image Retrieval (Cbir) For Storing Of Products

open access: yesTurkish Journal of Computer and Mathematics Education (TURCOMAT), 2021
With rise in complexity of materials and lack of necessary skills among the mass population, it is necessary to find a system that can help the employees to identify the materials without the help of additional labour, training and manuals. Hence, a system has been created to identify the material and give similar materials when the model is provided ...
openaire   +2 more sources

An adaptive technique for content-based image retrieval [PDF]

open access: yes, 2006
We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to ...
AHM Hofstede ter   +18 more
core   +1 more source

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