期刊文献+

基于感兴趣区域的可伸缩性容错编码 被引量:4

Scalable and error resilient video coding scheme based on ROI
下载PDF
导出
摘要 为了在低带宽的条件下提高视频质量并获得更高的编码效率,提出一种基于感兴趣区域(ROI)实现可伸缩容错编码的方法。在编码时结合基于ROI对象的动态FMO,满足了编码效率和容错性能的折衷。同时,结合FMO特性实现对增强层的感兴趣区域的优先传输,提高了视频质量和码流的可伸缩性。实验结果表明,该方法对于带宽受限条件下的图像传输具有很好的差错鲁棒性,图像PSNR可以提高2.5dB左右,能为图像感兴趣区域提供有效保护,提高图像质量。 In order to improve video quality and obtain higher efficiency of the code in lower bandwidth conditions, a error resilience scalable coding method based on a region of interest (ROI) is presented. In order to ensure accurate and transmit efficiently, the coding combined with object FMO, a trade-off between the coding efficiency and error resilience is obtained. Meanwhile, it realize that the ROI of the enhancement layer is always transmitted prior by using FMO, and improve the quality and scalability of the video stream. Experimental results show that the transmission has a good image of error robustness under conditions of limited bandwidth, the PSNR gain is more than 2.5 dB, provide protection for ROI effectively and improve image quality.
出处 《计算机工程与设计》 CSCD 北大核心 2009年第21期4901-4903,4920,共4页 Computer Engineering and Design
关键词 可伸缩编码 感兴趣区域 灵活宏块排序 容错性能 scalable coding ROI (region of interest) FMO (Flexible macroblock ordering) error resilience
  • 相关文献

参考文献3

二级参考文献16

  • 1郁梅,王圣男,蒋刚毅.复杂交通场景中的车辆检测与跟踪新方法[J].光电工程,2005,32(2):67-70. 被引量:23
  • 2Muller-Schneiders S, Jager T, Loos H S, et al. Performance evaluation of a real time video surveillance system [C]//2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance. Beijing, China: IEEE, 2005: 137-144.
  • 3Ostermann J, Bormans J, List P, et al. Video Coding with H.264/AVC: tools, performance, and complexity [J]. IEEE Transactions on Circuits and Systems Magazine, 2004, 4(1): 7-28.
  • 4Hossain M J, Lee Jung-Woo, Chae Ok-Sam. An adaptive video surveillance approach for dynamic environment [C]// Proeeedings of 2004 International Symposium on Intelligent Signal Proeessing and Communication Systems. Seoul, Korea, IEEE, 2004: 84-89.
  • 5LEI B, XU Li-qun. Real-time outdoor video surveillance with robust foreground extraction and object tracking via multi-state transition management [J]. Pattern Recognition Letters, 2006, 27(15): 1816-1825.
  • 6Jaynes C, Kale A, Sanders N, et al. The Terrascope dataset: scripted multi-camera indoor video surveillance with ground-truth [C]//2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance. Beijing, China: IEEE, 2005: 309-316.
  • 7Chiasserini C F, Magli E. Energy consumption and image quality in wireless video-surveillance networks [C]//The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. Lisboa, Portugal, IEEE, 2002, 5: 2357-2360.
  • 8Ziliani F. The importance of scalability in video surveillance architectures [C]// The IEE International Symposium on Imaging for Crime Detection and Prevention. London, UK, IEE, 2005: 29-32.
  • 9Askelof J, Carlander M L, Christopoulos C. Region of interest coding in JPEG 2000. Signal Processing: Image Communication, 2002, 17(1): 105-111
  • 10Said A, Pearlman W A. A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology, 1996, 6(3): 243-250

共引文献11

同被引文献51

引证文献4

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部