关键词: 词袋, 支持区域探测, 视觉短语, 图像表示

Abstract: In recent years, in the bag-of-words model, the position relationship between visual words is almost completely abandoned, existing redundant information can’t express this kind of image effectively. Based on the problems which the relative position relations between traditional visual words are under-utilization and semantic information of visual words is not clear, this paper proposes visual phrases based on support region detection for image representation. Some support regions can be obtained, which play an important role in image classification by support region detection. Then visual words from support regions are formed into visual phrases which are used for image classification. Finally the contrast experiment is done in the UIUC-Sports8 and Scene-15 databases, the experimental results show that the proposed method has a good image classification performance.

Key words: bag-of-words, support region detection, visual phrases, image representation