Arabic Text-Based Video Indexing and Retrieval System Enhanced by Semantic Content and Relevance Feedback

Nowadays, the Internet remains the essential source of access to scientific and technical information. In some languages, including Arabic, the means used to search for information do not seem to perform as well as in other languages. This deficiency is probably due to the late introduction of the Internet into the Arabization of the scientific and technological world, on the one hand, and to advances in the development of Arabic-language digital processing, on the other. This article intends to identify and explain the limitations and problems of searching for video in Arabic. For this reason, we propose an Arabic video indexing and retrieval system. In the indexation phase, our method is a combination between low-level and height-level indexation. In the retrieval phase, we put the user at the center of the research process. This goal is achieved by including a relevance feedback mechanism. The proposed new system is tested and prove that is perform well in a large scale database.