CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE

February 2017
Vol-3, Issue-1
Paper ID: 3878
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
COMPUTER SCIENCE AND ENGINEERING
Keywords
content image retrieval color shape texture indexing similarity
Abstract
Recently, digital content has become a significant and inevitable asset for any enterprise and the need for visual content management is on the rise as well. There has been an increase in attention towards the automated management and retrieval of digital images owing to the drastic development in the number and size of image databases. A significant and increasingly popular approach that aids in the retrieval of image data from a huge collection is called Content-based image retrieval (CBIR). Content-based image retrieval has attracted voluminous research in the last decade paving way for development of numerous techniques and systems besides creating interest on fields that support these systems. CBIR indexes the images based on the features obtained from visual content so as to facilitate speedy retrieval. This report discuss the state of the art of the content based image retrieval highlighting the main components and reviewing various approaches employed at each stage, while enhancing the main challenges and key contributions.

Author Information

# Name Institute / Affiliation
1 B.HEMANTHI ANURAG GROUP OF INSTITUTIONS
2 A.OBULESH ANURAG GROUP OF INSTITUTIONS
3 Dr.V.VIJAY KUMAR ANURAG GROUP OF INSTITUTIONS
4 Dr.G.VISHNU MURTHY ANURAG GROUP OF INSTITUTIONS

How to Cite

Use the following formats to cite this article in your research.

APA Style
B.HEMANTHI, A.OBULESH, KUMAR, Dr.V.VIJAY, & MURTHY, Dr.G.VISHNU (2017). CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1408-1412.
MLA Style
B.HEMANTHI, et al. "CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1408-1412.
IEEE Style
B.HEMANTHI, A.OBULESH, Dr.V.VIJAY KUMAR, and Dr.G.VISHNU MURTHY, "CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1408-1412, 2017.
Vancouver Style
B.HEMANTHI, A.OBULESH, KUMAR Dr.V.VIJAY, MURTHY Dr.G.VISHNU. CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1408-1412.
Harvard Style
B.HEMANTHI, A.OBULESH, KUMAR, Dr.V.VIJAY, & MURTHY, Dr.G.VISHNU (2017) 'CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1408-1412.
Chicago Style
B.HEMANTHI, et al. "CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1408-1412.
Turabian Style
B.HEMANTHI, et al. "CONTENT BASED IMAGE RETRIEVAL USING LOCAL FEATURES OF IMAGE." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1408-1412.

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