Rahimi, Saleh, Keshavarz, Hamid and Khademian, Mahdi Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine. Journal of Studies in Library and Information Science, 2018, vol. 9, n. 4, pp. 83-104. [Journal article (Paginated)]
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English abstract
Purpose: the current research aimed to compare the effectiveness of various tags and codes for retrieving images from the Google. Design/methodology: selected images with different characteristics in a registered domain were carefully studied. The exception was that special conceptual features have been apportioned for each group of images separately. In this regard, each image group surrounding texts was dissimilar. Images were allocated with captionsincluding language in Farsi and English, alt text, image title, file name, free and controlled languages and appropriation text to images properties. Findings: allocating texts to images on a website causes Google to retrieve more images. Chi-square test for identification of significant differences among retrieved images in 5 Codes and revealed that in different codes, various numbers of images that were retrieved were significantly different. Caption allocation in English proved to have the best effect in retrieving images in the study sample, whereas file name had less effect in image retrieval ranking. Results of the Kruskal-Wallis test to assess the group differences in 5 codes revealed that differences were significant. Originality/Value: This paper tries to recall the importance of some elements which a search engine like Google may consider in indexing and retrieval of images. Widespread use of image tagging on the web enables Google and also other search engines to successfully retrieve images.
Item type: | Journal article (Paginated) |
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Keywords: | Image indexing, image retrieval, semantic image retrieval, image tagging, Google, image annotation. |
Subjects: | H. Information sources, supports, channels. H. Information sources, supports, channels. > HH. Audio-visual, Multimedia. H. Information sources, supports, channels. > HI. Electronic Media. I. Information treatment for information services > IB. Content analysis (A and I, class.) I. Information treatment for information services > IC. Index languages, processes and schemes. I. Information treatment for information services > IH. Image systems. |
Depositing user: | Hamid Keshavarz |
Date deposited: | 05 Apr 2020 12:01 |
Last modified: | 05 Apr 2020 12:01 |
URI: | http://hdl.handle.net/10760/39859 |
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