A Survey on the Image Retrieval via Site Operator

Abstract

The purpose of the present study is to investigate the Impact of Image Indexing on Optimizing Image Retrieval via site operator. Using quasi-experimental method 100 images, each image was uploaded 9 times with concept-based characteristics on iiproject.ir. Analysis consists of images which retrieved from the site operator. Number of images retrieved by the site operator is 151 images of 900 ones that are used in this study. The minimum number of retrieved images is related to "image titles" and the maximum ones 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 one related to “image caption in Farsi”. Images average ranking retrieved in 9 groups were different.

Keywords

• Image indexing
• image storing and retrieval
• Concept-based Image Indexing
• site operator.