Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/193224
Title: | Study exploration and development of efficient algorithmic models for content based image retrieval |
Researcher: | Satish Tunga |
Guide(s): | Jayadevappa D |
Keywords: | Image Retrieval |
University: | Jain University |
Completed Date: | 17/01/2018 |
Abstract: | Content Based Image Retrieval (CBIR) is an important step in addressing image storage and management problems Latest image technology improvements along with the Internet growth have led to a huge amount of digital multimedia during the recent decades Various methods, algorithms and systems have been proposed to solve these problems Such studies revealed the indexing and retrieval concepts which have further evolved to Content Based Image Retrieval CBIR systems often analyze image content via the so called low level features for indexing and retrieval newlinesuch as color texture and shape newline newline |
Pagination: | 137p. |
URI: | http://hdl.handle.net/10603/193224 |
Appears in Departments: | Department of Electronics Engineering |
Files in This Item:
File | Description | Size | Format | |
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01.title page.pdf | Attached File | 89.25 kB | Adobe PDF | View/Open |
02.declaration.pdf | 73.17 kB | Adobe PDF | View/Open | |
03.certificate.pdf | 199.58 kB | Adobe PDF | View/Open | |
04.acknowledgement.pdf | 93 kB | Adobe PDF | View/Open | |
05.abstract.pdf | 11.68 kB | Adobe PDF | View/Open | |
06.contents.pdf | 244.92 kB | Adobe PDF | View/Open | |
07.list of figures, tables & abbreviations.pdf | 100.36 kB | Adobe PDF | View/Open | |
08.chapter 1.pdf | 585.66 kB | Adobe PDF | View/Open | |
09.chapter 2.pdf | 663.6 kB | Adobe PDF | View/Open | |
10.chapter 3.pdf | 1.01 MB | Adobe PDF | View/Open | |
11.chapter 4.pdf | 834.85 kB | Adobe PDF | View/Open | |
12.chapter 5.pdf | 661.27 kB | Adobe PDF | View/Open | |
13.chapter 6.pdf | 243.15 kB | Adobe PDF | View/Open | |
14.references.pdf | 407.6 kB | Adobe PDF | View/Open |
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