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三维视频有效编码与传输的认知方法
A Cognitive Approach for Effective Coding and Transmission of 3D Video |
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| 课程网址: |
http://videolectures.net/acmmm2010_milani_cae/
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| 主讲教师: |
Simone Milani
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| 开课单位: |
帕多瓦大学
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| 开课时间: |
2011-02-01
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| 课程语种: |
英语
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| 中文简介: |
如果能够向终端用户提供一定程度的体验质量(QoE)，那么向广大用户可靠地提供3D视频内容有望成为多媒体应用领域的下一个重大革命。在过去的几年里，一些跨层的解决方案已经被证明在调整协议栈不同层的传输参数和最大化重建三维场景的感知质量方面是非常有效的。其中,认知源编码(CSC)方案(de -罚款与认知无线电系统)类比可能——适合于提高质量的3 d体验质量接收机通过修改源编码策略根据传输通道的状态和特征的编码信号。这种知识还允许优化编码器所需的计算复杂度。本文提出了一种基于支持向量机理论的CSC架构，通过对每个元素的特征进行分类，分析三维场景，识别不同元素，选择最合适的编码策略。实验结果表明，与传统的跨层技术相比，该方法能够提高接收到的三维信号的质量，降低编码操作的计算复杂度。
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| 课程简介: |
Reliable delivery of 3D video contents to a wide set of users is expected to be the next big revolution in multimedia ap- plications provided that it is possible to grant a certain level of Quality-of-Experience (QoE) to the end user. During the last years, several cross-layer solutions have proved to be ex- tremely effective in tuning the transmission parameters at the different layers of the protocol stack and in maximiz- ing the perceptual quality of the reconstructed 3D scene. Among these, Cognitive Source Coding (CSC) schemes (de- fined in analogy with Cognitive Radio systems) make possi- ble to improve the quality of the 3D QoE at the receiver by adapting the source coding strategy according to the state of the transmission channel and to the characteristics of the coded signal. This knowledge also permits an optimization of the computational complexity required at the encoder. The paper presents a CSC architecture that analyzes the 3D scene, identifies the different elements, and chooses the most appropriate coding strategy via a classification of the features of each element based on Support Vector Machine theory. Experimental results show that the proposed ap- proach permits improving the quality of the received 3D signal with respect to traditional cross-layer techniques and reducing the computational complexity of coding operation.
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| 关 键 词: |
三位视频; 有效编码; 认知方法
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-11-01：lxf
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| 阅读次数: |
39
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图 书 馆