Image Retrieval Based on Statistical and Geometry Features
文献类型：会议论文
| 作者 | Liu, Yu; Feng, Liangbing; Wang, Xing; Guo, Ning |
| 出版日期 | 2014 |
| 会议名称 | 10th International Symposium on Visual Computing, ISVC 2014 |
| 会议地点 | Las Vegas, NV, USA |
| 英文摘要 | The most popular approach to large scale image retrieval is based on the bag-of-word (BoW) representation of images. There is an important trick how the statistical and geometry features of BoW are efficiently used. We present a two-step approach for image retrieval with statistical features and spatial geometry information been considered in different step. In the first step, the statistical features of the images’ BoW are achieved to capture the underlying image topic to screen those images. In the second step, images from same topic are ranked using the concept of co-occurrence features (a type of geometry features). Computational cost of the retrieval is reduced because the first step does not consider computing the expensive spatial geometry information and the second step only uses significant features to rank images. Experiments on the Oxford 5K benchmark show that the proposed technique can stably achieve nearly the same result compared with a state-of-the-art retrieval method [1] while only spending about a tenth of the time the method takes.(16 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6021]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Liu, Yu,Feng, Liangbing,Wang, Xing,et al. Image Retrieval Based on Statistical and Geometry Features[C]. 见:10th International Symposium on Visual Computing, ISVC 2014. Las Vegas, NV, USA. |
入库方式： OAI收割
来源：深圳先进技术研究院
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