Improved Retrieval of Online Images via Site Operator: Findings at a Website Level

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Field Value
 
Title Improved Retrieval of Online Images via Site Operator: Findings at a Website Level
 
Creator Keshavarz, Hamid; Assistant Prof., Department of Information Science and Knowledge Studies, Shahid Beheshti University, Iran
Rahimi, Saleh; Assistant Prof., Department of Information Science and Knowledge Studies, Razi University, Kermanshah, Iran
 
Subject
Visual Communication; Image Indexing; Image Storage and Retrieval; Concept-based Image Indexing; Site Operator, Google Search Engine
 
Description AbstractThe current paper aimed to explore how image indexing and annotating could improve image retrieval via site operator command. Also was among the goals of the study to compare the effectiveness of different codes assigned to sample images in retrieval ranks of images by Google search engine. Using quasi-experimental method 100 images were selected, each image was uploaded 9 times by concept-based characteristics on site iiproject.ir. Analysis consists of images which retrieved from the site operator command. Number of images retrieved by the site operator command is 151 images of total 900 that are used in the study.  The minimum number of retrieved images is related to “image titles” and the maximum to the criteria images which entitled with Q code. Chi-square statistics showed that the number of images retrieved in various codes was different. The best ranking is related to “image title” and the weakest to “image caption in Farsi”. Images average ranking retrieved in 9 groups were different.  Findings reflect problems and issues of image indexing and retrieval and put forward some ways to overcome the challenges identified. Some lacks in image retrieval by Google search engine at website level are identified. Different codes and descriptors show different retrieval ranks and results considerable for designers, indexers and even users
 
Publisher Regional Information Center for Science & Technology
 
Contributor
 
Date 2018-07-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ijism.ricest.ac.ir/index.php/ijism/article/view/1269
 
Source International Journal of Information Science and Management (IJISM); Vol 16, No 2 (2018)
2008-8310
2008-8302
 
Language eng
 
Relation https://ijism.ricest.ac.ir/index.php/ijism/article/view/1269/363
 
Rights Copyright (c) 2018 International Journal of Information Science and Management (IJISM)
 

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