This paper provides the information about
image retrieval using the concept of Attribute
Base Image Retrieval (ABIR) and Content Base
Image Retrieval (CBIR). The retrieval method
nominate in present paper utilizes the fusion of
the images multimodal information (visual and
textual) which is a recent trend in image
retrieval researches. Image retrieval is the
science of locating images from a large database
or image sequences that fulfill the specified
image need. An image retrieval technique is
based on the Scale-Invariant Feature Transform
(SIFT) method is present in this project. It joins
two different data mining techniques to get
semantically related images they are as:
association and clustering rules mining
algorithm which is nothing but the Bag of
Features (BoF). BoF methods are based on
order less collection of quantized local image
descriptors they remove spatial information and
are therefore computationally and conceptually
simpler than many alternative methods.
Real Time Impact Factor:
Pending
Author Name: Swati L. Dudhe , Prof. Sonali Bodkhe
URL: View PDF
Keywords: ABIR, CBIR, SIFT, BoF, Image Retrieving
ISSN:
EISSN: 2349-0721
EOI/DOI: 01/11/2015
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