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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 24.81 kB | Adobe PDF | View/Open |
02_certificate.pdf | 152.92 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 104.89 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 87.67 kB | Adobe PDF | View/Open | |
05_contents.pdf | 119.47 kB | Adobe PDF | View/Open | |
06_chapter 1.pdf | 198.21 kB | Adobe PDF | View/Open | |
07_chapter 2.pdf | 811 kB | Adobe PDF | View/Open | |
08_chapter 3.pdf | 385.28 kB | Adobe PDF | View/Open | |
09_chapter 4.pdf | 482.42 kB | Adobe PDF | View/Open | |
10_chapter 5.pdf | 244.09 kB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 1.23 MB | Adobe PDF | View/Open | |
12_chapter 7.pdf | 14.48 kB | Adobe PDF | View/Open | |
13_references.pdf | 124.59 kB | Adobe PDF | View/Open | |
14_publications.pdf | 93.22 kB | Adobe PDF | View/Open |
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