Abstract:
The 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.
Machine summary:
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.
Keywords: Visual Communication, Image Indexing, Image Storage and Retrieval, Concept-based Image Indexing, Site Operator, Google Search Engine.
The best way for image retrieval is relaying on textual descriptions (Bar-Ilan Zhitomirsky-Geffet, & Shoham, 2012) and level and extent of indexing is often determined by the nature of collections and the user needs (Booth, 2001).
H. Does use of property tag including subject and title make any difference in extent of image retrieval in research sample?
Following loading images on the allocated website, and their indexing by Google search engine, site operator command was used so that all images of research sample were retrieved at once by Google.
It also indicates mean, minimum and maximum retrieved images in each of nine codes including image title (T), image alternate text (A), English image caption (E), Persian image caption (G), file name (N), free indexing language (F), controlled indexing language (C), image tag information (P), and images with no change (Q).
Table 3 Frequenc y difference of retrieved ima ges {مراجعه شود به فایل جدول الحاقی} Table 3 gives chi-square, degree of freedom and significance level of chi-square for investigating frequency difference of the number of retrieved images in terms of different codes.
Question H: Does use of property tag including subject and title make any difference in extent of image retrieval in research sample?