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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Main Authors: S.P. Jeyapriyamvadha, R. Arockia Xavier Annie, P. Yogesh
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2012-05-01
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.
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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
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AT pyogesh optimizedimageretrievalsystemusingmultiplethreads