摘要
相邻帧视频对象间运动较复杂时,传统方法只能采用效果稍差的空域视频对象形状错误隐藏,为了得到更好的隐藏结果,本文基于Harris角检测器和局部Zernike矩的旋转和平移不变性,提出了一种新的时域形状错误隐藏算法。首先引入纹理信息,用Harris角检测器获取视频对象中的兴趣点,通过比较各兴趣点局部Zernike矩的欧式距离提取对象间的最优匹配点对,然后确定视频对象间的运动参数,对参考对象运动补偿,最后实现基于轮廓的错误隐藏。实验表明,本文算法对视频对象间任意平移、旋转或结合两种运动的复杂情形仍能得到很好的隐藏结果。
In traditional methods, when the relative motion between video objects in consecutive instants was co.mplex, only the spatial shape error concealment was used with not very desirable effect. In order to obtain better concealment results, a Temporal shape error concealment scheme Robust to Rotation and Translation （TRRT） is proposed. This scheme is based on the invariant properties of rotation and translation of both Harris interest point detector and local Zernike moments. First, the best matching pairs of interest points are obtained by comparing the Euclidean distance of local Zernike moments defined on the neighborhood of the interest point. Then, the global motion parameters between video objects are determined and motion compensation is given to the reference boundary. Finally, the missing boundary pieces are reconstructed by boundary matching and compensation. This new scheme is compared with traditional temporal and spatial methods. Results show that better concealment can be obtained by this new scheme.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2009年第5期1379-1383,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(60572152)
'863'国家高技术研究发展计划项目(2006AA01Z127)
陕西省自然科学基金项目(2005F26)
