F-divergence based Local Contrastive Descriptor for ImageClassification
文献类型：会议论文
| 作者 | Sheng Guo; Weilin Huang; Chunjing Xu; Yu Qiao |
| 出版日期 | 2014 |
| 会议名称 | 2014 4th IEEE International Conference on Information Science and Technology (ICIST), |
| 会议地点 | 中国 |
| 英文摘要 | Recent studies showed that f-divergence based features have achieved great successes in speech recognition, synthesis and dialect classification. This paper proposes a novel local contrastive descriptor for image classification based on the f-divergence, referred as LCD. It extracts local image feature by computing the contrastive characteristic between image patches. Each patch is described as a discrete probability distribution of its properties (e.g. histogram of the intensity or gradient), and the contrast is measured by computing the f-divergence between different distributions. Then we build the bag-of-visualwords (BoVW) model based on the designed LCD and applied it for the task of image classification. We evaluated the proposed descriptor on the widely-used PASCAL VOC2007 benchmark dataset, and experimental results demonstrate that the LCD can work effectively and practically with reasonable accuracy achieved. In addition, we also showed that the LCD, encoding the local color information, can be used to compensate for the gradient-based features (e.g. SIFT) efficiently, with moderate improvements gained. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5500]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Sheng Guo,Weilin Huang,Chunjing Xu,et al. F-divergence based Local Contrastive Descriptor for ImageClassification[C]. 见:2014 4th IEEE International Conference on Information Science and Technology (ICIST),. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。