Natural Scene Category Recognition Based on Multiple Channels of PHOW

摘要：

This paper presents a method for recognizing scene categories based on multiple channels of Pyramid Histogram Of Words (PHOW). The main difference among different channels lies in what kind of feature detector/descriptor pair is employed in the framework of Bag-of-Words (BoW) models. This technique works by obtaining the confidence scores of a test image belonging to each possible category based on different information cues and combining those intermediate scores to determine the label of the test image. In order to make use of multiple cues provided by different channels of PHOW, we propose a novel fusion rule: weighted sum-max, which outperforms two other popular rules (max-max and summax) on several benchmark scene datasets.

关键词： CT SIFT HOG spatial pyramid scene category recognition information fusion

作者: Fuxiang Lu Rui Zhang Songyu Yu

作者单位: Information Science and Engineering School, Lanzhou University, Lanzhou, China Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 310-315

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）