Information Retrieval

Evaluation Web Image Search Engines (ISE)
Salam R. Al-E’mari
Department of Computer Sciences Yarmouk University
[e-mail]

Supervisor: Belal Mustafa Abuata [e-mail] ABSTRACT
Today search engines have become the most important way to information retrieval through the World Wide Web. Information has expanded greatly may consist of text, file, web page, image and other type. Images one important species in information retrieval, many users care about image retrieval from search engines where web image retrieval is a challenging task that requires efforts from image processing, link structure analysis, and web text retrieval. This paper focuses current technologies in web image search engines and compares result between the main search engines (namely Google, Bing and yahoo) depend on stander evaluate precision and recall where Google image get the highest precision through evaluate.

Key-words image retrieval, evaluation, CBIR, text-based.

I.

INTRODUCTION

User use web to get any type information all over the world, maybe information with different format URL, text, document word, PowerPoint, image, video …etc. Today there is more than one web search engines help user to information retrieval such as Google search engine, but not all information retrieved through search engines is relevant, it need filter by user. Photo one of the most species of interest to the user to process information retrieval. Modern, there are search engines especially for the process of image retrieval from large databases called Image Search Engine. Image retrieval system concern searching and retrieved digital image from collection databases. Branches of computer science interested in the process of image retrieval are databases management and computer vision. More strategies to process image retrieval, current image retrieval system use two main categories text-based image retrieval and image content-based. Text-based image describe image

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