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   using text surrounding method to enhance retrieval of online images by google search engine  
   
نویسنده rahimi saleh ,keshavarz hamid ,khademian mahdi
منبع مطالعات كتابداري و علم اطلاعات - 2018 - دوره : 9 - شماره : 4 - صفحه:83 -104
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. chisquare 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
کلیدواژه image indexing ,image retrieval ,semantic image retrieval
آدرس razi university, iran, shahid beheshti university, iran, national library and archive of iran, ایران
پست الکترونیکی mahdik55@gmail.com
 
   Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine  
   
Authors Rahimi Saleh ,Keshavarz Hamid ,Khademian Mahdi
  
 
 

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