[1]宋晓丽,刘冀伟,张晓星.分布式视频编码的关键帧提取算法[J].智能系统学报,2011,6(6):539-543.
SONG Xiaoli,LIU Jiwei,ZHANG Xiaoxing.A key frame selection algorithm for distributed video coding[J].CAAI Transactions on Intelligent Systems,2011,6(6):539-543.
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SONG Xiaoli,LIU Jiwei,ZHANG Xiaoxing.A key frame selection algorithm for distributed video coding[J].CAAI Transactions on Intelligent Systems,2011,6(6):539-543.
分布式视频编码的关键帧提取算法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第6期
页码:
539-543
栏目:
学术论文—机器感知与模式识别
出版日期:
2011-12-25
- Title:
- A key frame selection algorithm for distributed video coding
- 文章编号:
- 1673-4785(2011)06-0539-05
- 分类号:
- TP18；TN919.81
- 文献标志码:
- A
- 摘要:
- 分布式视频编码方案中，目前常用固定周期的方法选取关键帧.该方法忽略了视频序列的帧间相关性、运动变化情况.针对这些缺陷，研究了基于聚类的自适应关键帧提取算法，在此基础上，提出基于互信息量的改进算法.最后，针对以上2种算法中的时延问题给出了解决方案.实验证明，对于不同的测试序列，基于互信息量改进算法相比固定选取关键帧算法，边信息PSNR均值有0.67~1.4dB的提高.此外，解决时延的算法比改进算法在效率上有很大提高.
- Abstract:
- In most of the existing distributed video coding schemes, the fixed period method is usually applied for selecting a key frame. This strategy ignores the correlation between video frames and the changes of the motion activity along the video sequence. To avoid these flaws, this paper studied the adaptive key frame selection method based on hierarchical clustering; on this basis, an improved algorithm based on mutual information was proposed. Finally, a solution was given to overcome the delay in the abovementioned methods. Experimental results show that for various video sequences, a 0.671.4dB gain in the quality of side information has been achieved. In addition to being delayefficient, the key selection algorithm requires the lowest performance time.
- 参考文献/References:
-
［1］NILSSON M. The advanced video coding standard［C］//IT to HD: Visions of Broadcasting in the 21st Century. London, UK, 2004: 85100.
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［4］YANG Feng, DING Guiguang, DAI Qionghai. Adaptive key frame selection WynerZiv video coding［C］//IEEE Multimedia Signal Processing. Shanghai, China, 2005: 14.
［5］ASCENSO J, BRITES C, PRERIRA F. Content adaptive WynerZiv video coding driven by motion activity［C］//IEEE International Conference on Image Processing. Atlanta, USA, 2006: 605609.
［6］张晓星，刘冀伟，张波. 分布视频编码中基于帧间相关性的自适应关键帧选取算法［J］. 光电子?激光，2010， 21(10): 15361541.
ZHANG Xiaoxing, LIU Jiwei, ZHANG Bo. Adaptive key frame selection algorithm based on interframe correlation in distributed video coding［J］ Journal of Optoelectronics?Laser, 2010， 21(10): 15361541
［7］AARON A, RANE S, SETTON E, et al. Transformsdomi an WynerZiv codec for video［C］//Visual Comm unications and Image Processing. San Jose, USA, 2004: 520528.
［8］MAES F, COLLIGNON A, VANDERMEULEN D. Multim odality image registration by maximization of mutual information［C］//Mathematical Methods in Biomedical Image Analysis. San Francisco, USA, 1996: 1422.
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- 相似文献/References:
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备注/Memo
收稿日期： 2011-07-11.
基金项目：国家自然科学基金资助项目（60903067）.
通信作者：宋晓丽.E-mail:xysxl02@163.com.
作者简介：
宋晓丽，女，1986年生，硕士研究生，主要研究方向为图像处理、视频压缩等.
?刘冀伟，男，1962年生，副教授，中国人工智能学会、人工心理与情感计算专业委员会理事，主要研究方向为图像处理、视频压缩、人工智能系统等，近年来在国内外著名期刊与会议上发表学术论文40余篇，出版著作多部.
张晓星，男，1984年生，博士研究生，主要研究方向为图像处理、图像、视频编码等.
更新日期/Last Update:
2012-02-29