OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS
Content-Based Image Retrieval is a technique used to retrieve similar images where the most challenging aspect is to bridge the gap between low level feature layout and high level semantic concepts. Efficient and effective retrieval techniques of images are desired to work out a certain image on the...
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Format: | Article |
Language: | English |
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ICT Academy of Tamil Nadu
2012-05-01
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Series: | ICTACT Journal on Image and Video Processing |
Subjects: | |
Online Access: | http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P4_417_422.pdf |
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author | S.P. Jeyapriyamvadha R. Arockia Xavier Annie P. Yogesh |
author_facet | S.P. Jeyapriyamvadha R. Arockia Xavier Annie P. Yogesh |
author_sort | S.P. Jeyapriyamvadha |
collection | DOAJ |
description | Content-Based Image Retrieval is a technique used to retrieve similar images where the most challenging aspect is to bridge the gap between low level feature layout and high level semantic concepts. Efficient and effective retrieval techniques of images are desired to work out a certain image on the condition that the result would be more suitable than the input image. A novel method is proposed, which links various images as threads; where the texture features and shape features of the images are extracted and stored. The minimum distance between the query image and the thread provides the output. These threads are based upon the query result. The resultant retrieval system is found to be beneficial and interactive. |
first_indexed | 2024-12-13T01:27:17Z |
format | Article |
id | doaj.art-71364927674c44569552a91923d69eb0 |
institution | Directory Open Access Journal |
issn | 0976-9099 0976-9102 |
language | English |
last_indexed | 2024-12-13T01:27:17Z |
publishDate | 2012-05-01 |
publisher | ICT Academy of Tamil Nadu |
record_format | Article |
series | ICTACT Journal on Image and Video Processing |
spelling | doaj.art-71364927674c44569552a91923d69eb02022-12-22T00:04:06ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022012-05-0124417422OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADSS.P. Jeyapriyamvadha0R. Arockia Xavier Annie1P. Yogesh2Department of Information Science and Technology, College of Engineering, Anna University Chennai, IndiaDepartment of Computer Science and Engineering, College of Engineering, Anna University Chennai, IndiaDepartment of Information Science and Technology, College of Engineering, Anna University Chennai, IndiaContent-Based Image Retrieval is a technique used to retrieve similar images where the most challenging aspect is to bridge the gap between low level feature layout and high level semantic concepts. Efficient and effective retrieval techniques of images are desired to work out a certain image on the condition that the result would be more suitable than the input image. A novel method is proposed, which links various images as threads; where the texture features and shape features of the images are extracted and stored. The minimum distance between the query image and the thread provides the output. These threads are based upon the query result. The resultant retrieval system is found to be beneficial and interactive.http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P4_417_422.pdfContent-Based Image Retrieval (CBIR)Feature ExtractionInteractive Search |
spellingShingle | S.P. Jeyapriyamvadha R. Arockia Xavier Annie P. Yogesh OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS ICTACT Journal on Image and Video Processing Content-Based Image Retrieval (CBIR) Feature Extraction Interactive Search |
title | OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS |
title_full | OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS |
title_fullStr | OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS |
title_full_unstemmed | OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS |
title_short | OPTIMIZED IMAGE RETRIEVAL SYSTEM USING MULTIPLE THREADS |
title_sort | optimized image retrieval system using multiple threads |
topic | Content-Based Image Retrieval (CBIR) Feature Extraction Interactive Search |
url | http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P4_417_422.pdf |
work_keys_str_mv | AT spjeyapriyamvadha optimizedimageretrievalsystemusingmultiplethreads AT rarockiaxavierannie optimizedimageretrievalsystemusingmultiplethreads AT pyogesh optimizedimageretrievalsystemusingmultiplethreads |