Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/225196
Title: Conventional optimization Techniques for feature reduction And search space reduction in Content based image retrieval
Researcher: Annrose J
Guide(s): Seldev Christopher C
Keywords: Engineering and Technology,Computer Science,Computer Science Software Engineering
image retrieval
optimization Techniques
University: Anna University
Completed Date: 01/03/2018
Abstract: Nowadays Increase in availability development and less expensive newlineof modern digital image acquisition devices there is a massive increase in newlinedigital images in every field Especially with the growth of networks a huge newlineamount of images is uploaded and downloaded through an intranet internet newlineand World Wide Web Each and every field or domain provides its related newlineimages in their repository It is very much essential to store manage index newlineand browse or retrieve images from large image repository newlineTextbased image retrieval is a traditional method which is used to newlineretrieve similar images based on the keyword given as input This is not an newlineaccurate method because different annotations have been generated by various newlineexperts to the same image Even automatic annotation tools could produce newlinerelated keyword and descriptions Because of its computational complexity it newlineis not considered to be the be newline newline
Pagination: xxii, 142p.
URI: http://hdl.handle.net/10603/225196
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf152.92 kBAdobe PDFView/Open
03_abstract.pdf104.89 kBAdobe PDFView/Open
04_acknowledgement.pdf87.67 kBAdobe PDFView/Open
05_contents.pdf119.47 kBAdobe PDFView/Open
06_chapter 1.pdf198.21 kBAdobe PDFView/Open
07_chapter 2.pdf811 kBAdobe PDFView/Open
08_chapter 3.pdf385.28 kBAdobe PDFView/Open
09_chapter 4.pdf482.42 kBAdobe PDFView/Open
10_chapter 5.pdf244.09 kBAdobe PDFView/Open
11_chapter 6.pdf1.23 MBAdobe PDFView/Open
12_chapter 7.pdf14.48 kBAdobe PDFView/Open
13_references.pdf124.59 kBAdobe PDFView/Open
14_publications.pdf93.22 kBAdobe PDFView/Open
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