FEATURE EXTRACTION FOR IMAGE UNDERSTANDING IN CPODW

摘要：

This paper presents two classes of image features, namely relative and absolute features, designed for image content understanding in multimedia content protection by using digital watermarking techniques.Relative features are extracted based on image segmentation.Absolute features, on the other hand, characterize properties such as image edges and principal frequency components.Experiments have been conducted to compare the performance of these features according to the feature selection rules proposed in the generic framework CPODW 1.These experiments indicate that relative features are more robust in terms of non-content operations, whereas absolute features are more sensitive to image alteration.We also demonstrate that these two types of features should be combined in order to improve the overall performance in practice.

关键词： Content protection Features extraction Relative features Absolute features

作者: XIAO-QING XIA ZHEN-MING FENG

作者单位: Dept.of Electronic Engineering, Tsinghua University, Beijing, 100084, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1647-1651

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）