Nowadays, an enormous amount of videos are streamed every day to countless users, all using different devices and networks. These videos must be adapted in order to provide users with the most suitable video representation based on their device properties and current network conditions. However, the two most common techniques for video adaptation, simulcast and transcoding, represent two extremes. The former offers excellent scalability, but requires a large amount of storage, while the latter has a small storage cost, but is not scalable to many users due to the additional computing cost per requested representation. As a third, in-between approach, network-distributed video coding (NDVC) was proposed within the Moving Picture Experts Group (MPEG). The aim of NDVC is to reduce the storage cost compared to simulcast, while retaining a smaller computing cost compared to transcoding. By exploring the proposed techniques for NDVC, we show the workings of this third option for video providers to deliver their contents to their clients.
翻译:目前,每天向无数用户播放大量视频,所有用户都使用不同的设备和网络。这些视频必须加以调整,以便根据用户的设备特性和当前的网络条件,为用户提供最合适的视频演示。然而,两种最常用的视频改造技术,即模拟和转换编码,代表两个极端。前者提供极好的可缩放性,但需要大量存储,而后者则需要少量存储成本,但由于每个请求的显示成本都增加了计算成本,因此无法对许多用户进行缩放。作为第三个办法,移动图片专家组(动图专家组)提出了网络分布视频编码(NDVC),目的是降低存储成本,与模拟相比,同时保留比转码成本更低的计算成本。我们通过探索DVC的拟议技术,为视频供应商向客户传递其内容展示了第三个选项的运作情况。