保持运动的可伸缩AVS视频编解码系统

发布时间：2018-12-10 21:30

【摘要】：视频信息的直观性、确切性、高效性、广泛性等一系列优点使其在通信领域受到极大青睐。但是,视频信息量大又极大的限制了其在Internet和移动网络中的处理与传输。自20世纪90年代以来Internet和移动通信技术迅猛发展,视频压缩问题也吸引了众多学者的眼球,并在视频编解码技术上取得了很大成就。2006年,我国拥有自主知识产权的先进音视频编码标准AVS开始实施,为我国视频通信技术开辟了广阔的的发展空间。随着网络技术越来越成熟、应用越来越广泛,如今的视频应用已从过去面向存储的视频编解码应用转向面向网络传输的视频编解码。面向网络传输的视频编解码主要受带宽以及终端设备多样化的限制。如何使网络视频业务具有足够的灵活性,以适应网络的带宽需求,以及满足不同用户、不同设备终端的不同需求,成为现下亟待解决的问题,因此可伸缩编解码应运而生。可伸缩视频编码(Scalable Video Coding, SVC)经过一次性压缩编码后产生的码流能被可伸缩解码器解得不同码率、帧率、空间分辨率和视频质量的视频图像。因此,产生的视频流具有能够适应网络和终端变换的特性,可在规定的码率范围内提供较高的解码质量,具有码率可变等优点。但是,好的伸缩性能也造成可伸缩视频编解码的计算复杂度较高、实践应用的难度较大。基于上述问题本课题主要目的是设计一套可伸缩编解码系统,在提高可伸缩视频质量的同时最大限度的降低视频编解码的计算复杂度。主要工作与创新点如下：深入研究AVS编解码原理及官方发布的参考编、解码软件的基础上,提出了保持运动变换的可伸缩编、解码系统设计思想。该系统针对传统分级可伸缩编码运动搜索复杂度高的缺点提出了保持运动的可伸缩编解码。该算法只对基本层进行运动搜索,对上采样得到的增强层使用基本层对应参考帧的运动矢量MV (Motion Vector)。因此,减少了增强层的运动搜素,不仅减少了传输比特而且大大降低了计算复杂度。由此带来的信噪比PSNR的降低则由更加精准的滤波器与相匹配的量化来补偿。
[Abstract]:Video information has a series of advantages, such as intuitiveness, accuracy, efficiency, extensiveness and so on, which make it very popular in the field of communication. However, the amount of video information greatly limits its processing and transmission in Internet and mobile networks. With the rapid development of Internet and mobile communication technology since 1990s, video compression has attracted the attention of many scholars, and has made great achievements in video coding and decoding technology. AVS, an advanced audio and video coding standard with independent intellectual property rights, has opened up a broad space for the development of video communication technology in China. With the network technology becoming more and more mature and widely used, today's video applications have changed from storage oriented video codec applications to network transmission-oriented video codec applications. Video coding and decoding for network transmission is mainly limited by bandwidth and diversity of terminal devices. How to make the network video service flexible enough to meet the bandwidth requirements of the network, and to meet the different needs of different users and different device terminals, becomes an urgent problem, so scalable coding and decoding emerge as the times require. The bitstream generated by the scalable video coding (Scalable Video Coding, SVC) can be resolved by the scalable decoder to obtain video images of different rates frame rate spatial resolution and video quality. Therefore, the generated video stream can adapt to the network and terminal transformation, can provide high decoding quality within the specified bit rate range, and has the advantages of variable bit rate and so on. However, good scalability also results in high computational complexity of scalable video coding and decoding, and great difficulty in practical application. The main purpose of this paper is to design a scalable codec system to improve the quality of scalable video at the same time to reduce the computational complexity of video coding and decoding. The main work and innovations are as follows: on the basis of deeply studying the principle of AVS coding and decoding and the official reference coding and decoding software, this paper puts forward the design idea of scalable coding and decoding system to maintain the motion transformation. Aiming at the high complexity of the traditional scalable coding, the system proposes a scalable codec to preserve the motion. The algorithm only searches the motion of the basic layer, and uses the motion vector MV (Motion Vector). Of the reference frame of the base layer to obtain the enhancement layer from the upper sampling. Therefore, the motion search in the enhancement layer is reduced, which not only reduces the transmission bits, but also greatly reduces the computational complexity. The resulting reduction in SNR PSNR is compensated by more accurate filters and matched quantization.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN919.81

【参考文献】