An Approach for Image Retrieval Based on Visual Saliency

摘要：

Considering the gap between low-level image features and the high-level semantic concept in content-based image retrieval (CBIR), a new approach is proposed for image retrieval based on visual saliency, by analyzing the human visual perception process. Visual information is introduced as the new feature which reflects high-level semantic concept objectively. First, the visual saliency model for image retrieval is established. The saliency features of intensity, color and texture are calculated. Second, integrated global saliency map is synthesized and its statistic histogram is used as a new feature in image retrieval. Finally, the similarity of color images is computed by combining the color feature and the histogram of integrated saliency map. Results of experiments show that our approach improves retrieval precision and recall when compared with the classical color feature approach.

关键词： feature eztraction color feature visual saliency visual attention image retrieval

作者: Shouhong Wan Peiquan Jin Lihua Yue

作者单位: Department of Computer Science and Technology, University of Science and Technology of China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 172-175

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）