摘要
设计了结合视频分割的形状编码新算法。该算法采用提出的基于柔性初始轮廓的水平集(levelset)运动对象分割算法得到零水平集,即对象的形状轮廓,然后进一步采用提出的基于边界与采样轮廓一致性的基准线编码方法直接得到视频对象的形状编码,从而避免了采用二值矩阵提取形状轮廓产生的误差和时间花费,有效地节约了码流,具有了较好的编码效果。
Baseline-based shape coding algorithm and image-dependent shape coding were researched. By integrating the two methods, a new shape coding algorithm was designed. The video object is segmented based on level set method firstly, and the result called zero level set is coded by the baseline-based coding. The new algorithm can overcome effec- tively the lacks of the baseline-based shape coding algorithm and image-dependent shape coding. The experimental results have demonstrated that the new algorithm is more effective and suitable for real application.
出处
《通信学报》
EI
CSCD
北大核心
2008年第3期70-75,共6页
Journal on Communications
基金
国家自然科学基金资助项目(60673092)
教育部科研重点基金资助项目(205059)
江苏省高校自然科学基金资助项目(07KJD520186)~~
关键词
形状编码
视频分割
水平集
基准线
shape coding
video segmentation
level set
baseline