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An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR)
Joint Authors
Singh, Sanjay
Sontakke, Trimbak Ramchandra
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 2 (31 Mar. 2014)10 p.
Publisher
Publication Date
2014-03-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Nowadays, Content Based Image Retrieval (CBIR) plays a significant role in the image processing field.
Images relevant to a given query image are retrieved by the CBIR system utilizing either low level features (such as shape, color etc.,) or high level features (human perception).
Normally, a semantic gap exists between the low level features and the high level features, because the images which are identical in visual content may not be identical in the semantic sense.
In this paper, an effective approach is proposed to trim down this semantic gap that exists between the low level features and the high level features.
Initially, when a query image is given, images relevant to it are retrieved from the image database based on its low level features.
We have performed retrieval utilizing one of the evolutionary algorithms called Evolutionary Programming (EP).
Subsequent to this process, query keyword which is a high level feature is extracted from these retrieved images and then based on this query keyword, relevant images are retrieved from the database.
Subsequently, the images retrieved based on low level features and high level features are compared and the images which are both visually and semantically identical are identified.
Better results obtained by the proposed approach when it is queried using different types of images prove its effectiveness in minimizing the semantic gap
American Psychological Association (APA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. 2014. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology،Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334201
Modern Language Association (MLA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology Vol. 11, no. 2 (Mar. 2014).
https://search.emarefa.net/detail/BIM-334201
American Medical Association (AMA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology. 2014. Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334201
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334201