UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 3
March-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1503022


Registration ID:
150165

Page Number

525-529

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Title

Mapreduce Function in Hadoop forMining Weakly Labeled Web Facial Images for Search Based Face Annotation

Abstract

Web mining is the application of data mining techniques to discover patterns from the Web. The main objective of web mining is to develop more intelligent tools for potentially help the user in finding, extracting, filtering and evaluating valuable information and resources. The popularity of digital images is rapidly increasing due to improving digital imaging technologies and convenient availability facilitated by the Internet. To improve the retrieval accuracy of content-based image retrieval systems, the research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap’ between the visual features and the richness of human semantics. Search-Based Face Annotation (SBFA) by mining weakly labelled facial images that are freely available on the World Wide Web (WWW). One challenging problem for search-based face annotation scheme is to effectively perform annotation by exploiting the list of most similar facial images and weak labels that are often noisy and incomplete. To overcome the above issues, a map reducing technique is developed to improve the efficiency and scalability of the images. Map reduce program is composed of a map procedure that performs filtering and sorting.

Key Words

Face annotation, web facial images, search base face annotation, weak label search based facial annotation.

Cite This Article

"Mapreduce Function in Hadoop forMining Weakly Labeled Web Facial Images for Search Based Face Annotation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 3, page no.525-529, March-2015, Available :http://www.jetir.org/papers/JETIR1503022.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mapreduce Function in Hadoop forMining Weakly Labeled Web Facial Images for Search Based Face Annotation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 3, page no. pp525-529, March-2015, Available at : http://www.jetir.org/papers/JETIR1503022.pdf

Publication Details

Published Paper ID: JETIR1503022
Registration ID: 150165
Published In: Volume 2 | Issue 3 | Year March-2015
DOI (Digital Object Identifier):
Page No: 525-529
Country: tirupur, tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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