V. V. Menon, Hadi Amirpour, Christian Feldmann, M. Ghanbari, C. Timmerer
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引用次数: 1
摘要
在实时流媒体应用中,通常在整个流媒体会话期间使用一组固定的比特率分辨率对(称为比特率阶梯),以避免为每个视频内容寻找场景转换和优化比特率分辨率对的额外延迟。然而,优化每个场景的比特率阶梯可能会导致(i)降低存储或传输成本或/和(ii)提高体验质量(QoE)。本文介绍了一种用于自适应HTTP直播应用的在线逐场景编码(OPSE)方案。在该方案中,使用基于能量的低复杂度空间和时间特征的离散余弦变换(DCT)预测场景转换和优化的比特率分辨率对。实验结果表明,与参考HTTP Live Streaming (HLS)比特率阶梯相比,平均而言,opse在某些场景中可以节省高达48.88%的比特率,以保持相同的VMAF,而在流媒体中没有任何明显的额外延迟。
OPSE: Online Per-Scene Encoding for Adaptive Http Live Streaming
In live streaming applications, typically a fixed set of bitrateresolution pairs (known as a bitrate ladder) is used during the entire streaming session in order to avoid the additional latency to find scene transitions and optimized bitrateresolution pairs for every video content. However, an optimized bitrate ladder per scene may result in (i) decreased storage or delivery costs or/and (ii) increased Quality of Experience (QoE). This paper introduces an Online Per-Scene Encoding (OPSE) scheme for adaptive HTTP live streaming applications. In this scheme, scene transitions and optimized bitrate-resolution pairs for every scene are predicted using Discrete Cosine Transform (DCT)-energy-based low-complexity spatial and temporal features. Experimental results show that, on average, OPSEyields bitrate savings of up to 48.88% in certain scenes to maintain the same VMAF, compared to the reference HTTP Live Streaming (HLS) bitrate ladder without any noticeable additional latency in streaming.