A Review of Content Based Image Mining System

في السنوات الأخيرة، مع انتشار الإنترنت، هناك كمية كبيرة من البيانات المتاحة فيه. لذلك، يصبح من الضروري العثور على محركات بحث سريعة لاسترداد الصور والمستندات. استرجاع الصور هو مجال مهم جدا في معالجة الصور الرقمية. لفهم ومعرفة المزيد حول "نظام استرداد الصور" ، تقدم الدراسة الحالية مراجعة لوصف أنواع تقنيات استرجاع الصور، وشرح مزايا وعيوبها. علاوة على ذلك، تستعرض هذه الورقة الدراسات البحثية المختلفة والمنهجيات التي تنطبق على مجال CBIRIn recent years, with the spread of the internet, there is a large amount of data available at it. Therefore, it becomes necessary to find fast search engines to retrieve images and documents. Image retrieval is a very significant area in digital image processing. To understand and learn more about "image retrieval system", the current study presents a review to describe the types of image retrieval techniques, explain the advantages and disadvantages of them. Moreover, this paper reviews different research studies and methodologies that applied to the area of CBIR

An Online Content Based Email Attachments Retrieval System

E-mail is one of the most popular programs used by most people today. As a result of the continuous daily use, thousands of messages are accumulated in the electronic box of most individuals, which make it difficult for them after a period of time to retrieve the attachments of these messages. Most Email providers constantly improved their search technology, but till now there is something could not be done; i.e., searching inside attachments. Some email providers like Gmail has added searching words inside attachments for some file types (.pdf files, .doc documents, .ppt presentations) but for image files this feature not supported till now. However, E-mail providers and even modern researchers have not focused on retrieving the image attachments in the E- mail box. The paper was aimed to introduce a novel idea of using Content based Image Retrieval (CBIR) in E-mail application to retrieve images from email attachments based on entire contents. The work main phases are: feature extraction based on color features and connect to Email server to read Emails, the second phase is retrieving similar image attachments. The tests carried on email inbox contain 100 messages with 500 image attachments and gave good precision and recall rates When the threshold value is less than or equal to 0.4

Mining Consumer Knowledge from Shopping Experience: TV Shopping Industry

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