Video Retreival Using Different Color Models

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

With the explosion of multimedia data (videos, audios, images, and Web pages), people have no time to look at this huge data, and human attention has become a precious resource. So, a way must be found to automatically analyze, classify, summarize, discover and characterize trends in it, and to automatically flag anomalies. Many researchers have felt the need for data mining methods to deal with this amount of data. The Multimedia Mining work includes various kinds of data like video, audio, image, etc. This work includes a set of fields, which process huge information, like clustering, recognition, classification, etc. Video Mining is the most important kind of mining because the video became a popular easy way to deliver a message or an idea like the video chat, movies, advertisements and also a way for protection like in surveillance videos and a lot of other uses that the world is full of. In this research, a Video Retrieval System (VRS) was implemented. This system has two phases: enrollment phase and query-matching phase. The enrollment phase constructs the videos' database. This database contains different classes that clustered according to their textural (Run Length) or shape (Moment Invariant) features with different color models (HSL or YCbCr).The clustering process is accomplished using K-means clustering algorithm. While, query-matching phase used for retrieving videos which are similar to an input one. Before extracting features, the input video is cut into several shots depending on the difference between successive frames histograms, then calculating the features to a chosen shot to retrieve the similar shots from the videos' database. The performance of the system was computed using recall and precision measures. In VRS, an encouraged good result was obtained.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0ce6e78f-cbb8-406b-93f1-52ecfc4c6182

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf image

أسماء الملفات

0ce6e78f-cbb8-406b-93f1-52ecfc4c6182_1.pdf

بيانات النشر

ترجمة العنوان

استرجاع الفيديو باستخدام أنواع مختلفة من نماذج اللون

ألقاب المؤلفين

[{"name_ar":"جابر عبدالله جابر","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"سوسن كمال ثامر","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Video Retreival Using Different Color Models

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

سوسن كمال ثامر

الإعداد

جابر عبدالله جابر

الاقتباسات الببليوغرافية