Smart Visualization for Online Aids Image Retrieval

Journal La Multiapp

View Publication Info
 
 
Field Value
 
Title Smart Visualization for Online Aids Image Retrieval
 
Creator Albqi, Huda A.
Abdulaali, Reem
Abbas, Ishraq Khudhair
 
Subject Visual Aids Retrieval Web
Annotation SVD
Image Retrieval
E-Learning
 
Description Visual aids can be considered as a motivational tool in enhancing students’ attention and create positive perceptions. The use of new technologies has opened new possibilities to integrate online visual aids in the teaching process, which produce positive learning effects. In this paper, a novel technique employed to retrieve specific images based on the kind of query classification. The semantic dictionary built based on the specific classification correlate with the query intention. Singular Value Decomposition SVD training technique have been used to select the effective key templates in order to link the query with the web annotation directly. The present method can be considered as a strategic tool in the E-learning technique, which can provide variety of clustered images to help the students in creative and critical thinking skills and prevent the indoctrination method in learning the students. The qualitative results achieved high True Positive (TP) retrieved images that respect to the effectiveness of the E-learning task. Also, it provides a good 92% of learning reaction and superior learning behavior level.
 
Publisher Newinera Publisher
 
Date 2021-12-16
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.newinera.com/index.php/JournalLaMultiapp/article/view/470
10.37899/journallamultiapp.v2i5.470
 
Source Journal La Multiapp; Vol. 2 No. 5 (2021): Journal La Multiapp; 1-7
2721-1290
2716-3865
 
Language eng
 
Relation http://www.newinera.com/index.php/JournalLaMultiapp/article/view/470/426
 
Rights Copyright (c) 2021 Journal La Multiapp
http://creativecommons.org/licenses/by-sa/4.0/
 

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