Popularity-Aware 360-Degree Video Streaming
Popularity-Aware 360-Degree Video Streaming
复制标题
DOI：
10.1109/infocom42981.2021.9488856
复制
发表时间：
2021-05
期刊：
影响因子：
--
通讯作者：
Xianda Chen;Tianxiang Tan;G. Cao
中科院分区：
文献类型：
--
作者：
Xianda Chen;Tianxiang Tan;G. Cao
在360°视频流媒体中，基于瓦片的流媒体技术已被广泛用于节省带宽。然而，确定正确的瓦片大小是一个挑战，它直接影响带宽使用。为了解决这个问题，我们建议通过考虑观看流行度来对视频进行编码，其中流行观看区域被编码为宏块以节省带宽。我们提出了识别和构建宏块的技术，并考虑到实际问题，如头部运动的随机性，调整其大小。在一些情况下，用户的观看区域可能不被构建的宏块覆盖，然后使用传统的平铺方案。为了支持人气感知的360°视频流媒体，客户端选择具有合适质量水平的合适瓦片(一个宏瓦片或一组常规瓦片)，以在带宽约束下最大化QOE。我们将该问题描述为一个NP难的优化问题，并提出了一种启发式算法来求解该问题。通过基于真实轨迹的广泛评估，我们证明了所提出的算法能够显著提高QOE并节省带宽使用。
Tile-based streaming techniques have been widely used to save bandwidth in 360° video streaming. However, it is a challenge to determine the right tile size which directly affects the bandwidth usage. To address this problem, we propose to encode the video by considering the viewing popularity, where the popularly viewed areas are encoded as macrotiles to save bandwidth. We propose techniques to identify and build macrotiles, and adjust their sizes considering practical issues such as head movement randomness. In some cases, a user’s viewing area may not be covered by the constructed macrotiles, and then the conventional tiling scheme is used. To support popularity-aware 360° video streaming, the client selects the right tiles (a macrotile or a set of conventional tiles) with the right quality level to maximize the QoE under bandwidth constraint. We formulate this problem as an optimization problem which is NP-hard, and then propose a heuristic algorithm to solve it. Through extensive evaluations based on real traces, we demonstrate that the proposed algorithm can significantly improve the QoE and save the bandwidth usage.