1. A video recommendation method applied in a video recommendation system, the method comprising: receiving feedback information of a video from a user, wherein the video comprises a plurality of video segments, and each video segment comprises a plurality of frames; calculating object features of at least a first video segment corresponding to the feedback information in the plurality of video segments, wherein the object features comprise at least one high level feature and at least one low level feature of the at least one first video segment, and the high level feature indicates object characteristics of the video segments or the frames close to explanation by human, and the low level features are close to the substantial properties of objects of each frame; calculating popularity of the object features of the video segments according to the high level features and the low level features; and recommending at least one first recommended video segment to the user from the plurality of video segments according to the calculated popularity of the object features and the feedback information.