Object Categorization Using Local Feature Context
Tao Sun; Chunjie Zhang; Jing Liu; Hanqing Lu
2013
会议名称International Conference on Advances in Multimedia Modeling
会议录名称Proceedings, Part II. Lecture Notes in Computer Science 7733
会议日期January 7-9, 2013
会议地点Huangshan, China
摘要Recently, the use of context has been proven very effective for object categorization. However, most of the researchers only used context information at the visual word level without considering the context information of local features. To tackle this problem, in this paper, we propose a novel object categorization method by considering the local feature context. Given a position in an image, to represent this position’s visual information, we use the local feature on this position as well as other local features based on their distances and angles to this position. The use of local feature context is more discriminative and is also invariant to rotation and scale change. The local feature context can then be combined with the state-of-the-art methods for object categorization. Experimental results on the UIUC-Sports dataset and the Caltech-101 dataset demonstrate the effectiveness of the proposed method.
关键词Bag Of Visual Words Local Feature Context Sift Object Categorization
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13446
专题模式识别国家重点实验室_图像与视频分析
通讯作者Jing Liu
推荐引用方式
GB/T 7714
Tao Sun,Chunjie Zhang,Jing Liu,et al. Object Categorization Using Local Feature Context[C],2013.
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