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داوران

Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine

نوع مقاله : علمی پژوهشی

نویسندگان

1 گروه علم اطلاعات و دانش شناسی، دانشکده علوم اجتماعی، دانشگاه رازی، کرمانشاه، ایران

2 گروه علم اطلاعات و دانش شناسی دانشگاه شهید بهشتی، تهران، ایران

3 کارشناس سازمان اسناد و کتابخانه ملی ایران

چکیده

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 group image surrounding texts was dissimilar. Images were allocated with captions including 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 website causes Google retrieve more images. Chi-square test for difference of retrieved images in 5 Codes is significant and revealed that in different codes, significantly various numbers of images were retrieved. Caption allocation in English had the best effect in retrieving images in the study sample and file name had less effect in image retrieval ranking. image retrieval

کلیدواژه‌ها

عنوان مقاله [English]

Enhancement of Image Retrieval: A Study on Text Surrounded Online Images

نویسندگان [English]

  • Saleh Rahimi 1
  • Hamid Keshavarz 2
  • Mahdi Khademian 3

1 Faculty member, Razi University, Kermanshah, Iran

2 Faculty member, Shahid Beheshti University, Tehran, Iran

3 National Library and Archive of Iran

چکیده [English]

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 group image surrounding texts was dissimilar. Images were allocated with captions including 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 website causes Google retrieve more images. Chi-square test for difference of retrieved images in 5 Codes is significant and revealed that in different codes, significantly various numbers of images were retrieved. Caption allocation in English had the best effect in retrieving images in the study sample and file name had less effect in image retrieval ranking. image retrieval

کلیدواژه‌ها [English]

  • image indexing
  • image retrieval
  • semantic image retrieval
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مطالعات کتابداری و علم اطلاعات
دوره 9، شماره 22
اسفند 1396
صفحه 83-104
فایل ها
هم رسانی
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