中文摘要：

针对图像低层特征和高层语义之间存在的语义鸿沟问题，提出一种结合草图查询和相关反馈的语义对象图像检索系统．该系统首先根据用户输入的手绘草图，利用形状（轮廓、区域和骨架）特征从对象库中初步检索出语义对象并保存其区域组合；然后根据用户选择的反馈对象并结合查询草图提取用户检索对象的语义特征（形状、区域及拓扑特征），最后采用寻找最优区域配对的方法在系统特征库中进行检索．实验结果表明，本文方法不但对用户需求的语义对象有较好的检索效果，而且还能较准确地在结果图像中框选出用户感兴趣的语义对象．

英文摘要：

Presented a novel query-by-sketch and relevance feedback based semantic object image retrieval system, aimed at reducing the semantic gap between low-level features and high-level semantics. Firstly the system retrieves semantic object images and their regions sets by calculating the distance between the shape features of the query sketch and the shape features in the object feature database. And then the system extracts user＇s semantic features from the query sketch and the object images selected by the user. Finally, the system accomplishes the retrieval task on the image feature database by using region matching method. The experimental results show that the proposed method is effective in retrieving images and can mark semantic object in the image.