Due to a number of illegal copied videos, many video content markets have been threatened. Sincethis copied videos have intercepted the profits of the content holders, content developers lose the willto generate new contents. Therefore, video copy detection approaches have been developed to protectthe copyrights of video contents. However, many illegal uploader who generate copied videos used videotransformations to avoid video copy detection systems. Among of the video transformations, rotation andflipping did not distorted the quality of video contents. Thus, these two video transformations were adoptto generate copied video. In order to detect rotated or flipping copy videos, rotation and flipping robustregion binary pattern (RFR) recently was proposed. But, this RFR has a weakness according to rotatedangles. Therefore, in order to overcome this problem, multi region binary patterns are proposed in thispaper. The proposed method has the similar performance with the original RFR. But, it showed muchhigher efficiency for memory spaces.