Smart Visualization for Online Aids Image Retrieval

Journal La Multiapp

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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
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
Peer-reviewed Article
Format application/pdf
Source Journal La Multiapp; Vol. 2 No. 5 (2021): Journal La Multiapp; 1-7
Language eng
Rights Copyright (c) 2021 Journal La Multiapp

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