公开(公告)号：US20180300869A1

公开(公告)日：2018-10-18

申请号：US16017929

申请日：2018-06-25

Applicant: NETFLIX, INC.

Inventor： Anne AARON ,  Dae KIM ,  Yu-Chieh LIN ,  David RONCA ,  Andy SCHULER ,  Kuyen TSAO ,  Chi-Hao WU

IPC: G06T7/00 ,  H04N19/154 ,  H04N21/466 ,  G06T9/00 ,  G06T7/20

Abstract: In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

公开(公告)号：US20160295216A1

公开(公告)日：2016-10-06

申请号：US14673621

申请日：2015-03-30

Applicant: NETFLIX, Inc

Inventor： Anne AARON ,  David RONCA ,  Ioannis KATSAVOUNIDIS ,  Andy SCHULER

IPC: H04N19/146 ,  H04N19/154 ,  H04N19/124

CPC classification number: H04N19/146 ,  H04N19/124 ,  H04N19/154 ,  H04N21/23418 ,  H04N21/23439

Abstract: In one embodiment of the present invention, an encoding bitrate ladder selector tailors bitrate ladders to the complexity of source data. Upon receiving source data, a complexity analyzer configures an encoder to repeatedly encode the source data-setting a constant quantization parameter to a different value for each encode. The complexity analyzer processes the encoding results to determine an equation that relates a visual quality metric to an encoding bitrate. The bucketing unit solves this equation to estimate a bucketing bitrate at a predetermined value of the visual quality metric. Based on the bucketing bitrate, the bucketing unit assigns the source data to a complexity bucket having an associated, predetermined bitrate ladder. Advantageously, sagaciously selecting the bitrate ladder enables encoding that optimally reflects tradeoffs between quality and resources (e.g., storage and bandwidth) across a variety of source data types instead of a single, “typical” source data type.

Abstract translation: 在本发明的一个实施例中，编码比特率梯形图选择器裁剪比特率降低了源数据的复杂度。 在接收到源数据时，复杂度分析器配置编码器以对源数据重复编码 - 将恒定量化参数设置为每个编码的不同值。 复杂度分析器处理编码结果以确定将视觉质量度量与编码比特率相关联的方程式。 屈服单元解决了该等式以估计在视觉质量度量的预定值处的压缩比特率。 基于衰减比特率，衰减单元将源数据分配给具有相关联的预定比特率梯形图的复杂度桶。 有利的是，通过选择比特率梯形图可以实现最佳地反映各种源数据类型之间的质量和资源（例如，存储和带宽）之间的折衷，而不是单一的“典型”源数据类型的折衷。