Content based video retrieval using discrete cosine transform

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2021Publisher:Institute of Advanced Engineering and ScienceJournal:Indonesian Journal of Electrical Engineering and Computer Science, volume 21, page 839 (issn: 2502-4752, eissn: 2502-4760,

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Authors: Hamad, Sumaya; Farhan, Ahmeed Suliman; Khudhur, Doaa Yaseen;

doi: 10.11591/ijeecs.v21.i2.pp839-845

Content based video retrieval using discrete cosine transform

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Abstract

A content based video retrieval (CBVR)framework is built in this paper. One of the essential features of video retrieval process and CBVR is a color value. The discrete cosine transform (DCT) is used to extract a query video features to compare with the video features stored in our database. Average result of 0.6475 was obtained by using the DCT after implementing it to the database we created and collected, and on all categories. This technique was applied on our database of video, Check 100 database videos, 5 videos in each category.

Related Organizations

University of Anbar
Iraq

Keywords

Content based video retrieval, Video retrieval process, Descrete cosine transform, Video retrieval

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