基于兴趣区域的鲁棒无线视频传输方法研究

A. C. Wong, Yu-Kwong Kwok
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引用次数: 17

摘要

本文提出了一种将实时视频传输到质量剧烈变化的无线信道的方案,这在实践中是一种常态而不是例外。由于感兴趣区域是人眼比剩余区域更容易关注的区域,因此感兴趣区域(ROI)是提高视频对无线信道适应性的有效方法。在我们提出的方案中,我们采用了这一特性。实时源视频流分为ROI和RM两个区域。这两个区域采用H.263标准编解码器进行编码,使视频传输能够适应当前信道状态,其特点是有效数据速率从数十千比特/秒到数百千比特/秒不等。通道状态参数被反馈到源编码器,以调整压缩比以及编码器的内部/内部选项。给出了帧丢失概率、压缩特性、峰值信噪比(PSNR)对信道状态的影响等结果,表明所得到的自适应视频编解码器能够对时变信道质量做出明智的响应。我们的方案与支持roi的运动图像编码标准JPEG2000一起进行了评估。利用JPEG2000提供的特性,使JPEG2000编解码器能够适应剧烈变化的无线信道,并与H.263编解码器进行比较。我们的技术适用于广泛的应用领域,包括实时新闻报道和视频会议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On a region-of-interest based approach to robust wireless video transmission
This paper presents a scheme aiming at transmitting real-time video to wireless channel with vigorously varying quality, which is in practice the norm rather than the exception. Region of interest (ROI) is an efficient approach to making the video more adaptive to the wireless channel because ROI is the region that human eyes tend to put more attention to than the remainder region (RM). In our proposed scheme, we adopted this feature. The real-time source video stream is divided into two regions, the ROI and the RM regions. The two regions were encoded using H.263 standard codec such that the video transmission is adaptive to the current channel state, which is characterized by the effective data rate that varies from tens of kilobits per second to hundreds of kilobits per second. Channel state parameters are fed back to the source coder to adjust the compression ratio as well as the intra/inter options of the encoders. Results including frame loss probability, compression characteristics, peak signal to noise ratio (PSNR) against channel states are given, indicating that the resulting adaptive video codec can respond judiciously to time-varying channel quality. Our scheme is evaluated together with a ROI-enabled moving picture coding standard JPEG2000. Using the features provided in JPEG2000, we have made the JPEG2000 codec adaptive to the vigorously varying wireless channel and then compared it with the H.263 scheme. Our technique is suitable for a broad area of applications including real-time news reporting and video conferencing.
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