With the explosive growth of data (including text, sound and video), the needs for automatic indexing, searching, organizing, and categorizing of these data have been increased as well. The majority of these data are generated in multimedia environment which include sounds and videos. Recently, video concept detection has received lots of attention. The main goal of video concept detection is to determine the presence of certain semantic concepts such as Outdoor, Airplane, Car and Person in a video frame. Nowadays, great developments in video concept detection have been reported in some domains. Each extra feature can increase the cost, space, and time of the The ambition of this thesis is to improve the behavior of the After feature selection, base Keywords : Semantic concept detection,
