AUTOMATIC VISUAL MEDIA TRANSMISSION ERROR ASSESSMENT

    公开(公告)号:US20230010085A1

    公开(公告)日:2023-01-12

    申请号:US17854311

    申请日:2022-06-30

    申请人: SSIMWAVE INC.

    摘要: A method or system is disclosed to assess transmission errors in a visual media input. Domain knowledge is obtained from the visual media input by content analysis, codec analysis, distortion analysis, and human visual system modeling. The visual media input is divided into partitions, which are passed into deep neural networks (DNNs). The DNN outputs of all partitions are combined with the guidance of domain knowledge to produce an assessment of the transmission error. In one or more illustrative examples, transmission error assessment at a plurality of monitoring points in a visual media communication system is collected and assessed, followed by quality control processes and statistical performance assessment on the stability of the visual communication system.

    VIDEO ASSET QUALITY ASSESSMENT AND ENCODING OPTIMIZATION TO ACHIEVE TARGET QUALITY REQUIREMENT

    公开(公告)号:US20220201317A1

    公开(公告)日:2022-06-23

    申请号:US17552022

    申请日:2021-12-15

    申请人: SSIMWAVE INC.

    摘要: Aspects of the present disclosure relate to the assessment on how well and consistent the quality of a video asset satisfies a given target quality level or a time-varying target quality curve, and the optimization on encoding configuration to achieve the best compromise between satisfying the target quality requirement and saving the bit rate/bandwidth cost. The application scope of the present disclosure is generally in, but not limited to, the field of video coding and distributions, including both live and file-based video encoding, broadcasting and streaming systems. Methods and systems implemented based on the present disclosure may achieve the highest accuracy approaching any given target quality with the smoothest quality variation over time, while maximally reduce bit rate/bandwidth and video distribution cost by optimally determining video encoding configurations and parameters.

    IMAGE AND VIDEO BANDING ASSESSMENT

    公开(公告)号:US20210321020A1

    公开(公告)日:2021-10-14

    申请号:US17225808

    申请日:2021-04-08

    申请人: SSIMWAVE INC.

    IPC分类号: H04N5/21 H04N7/015 H04N9/64

    摘要: Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

    METHOD AND SYSTEM FOR AUTOMATIC USER QUALITY-OF-EXPERIENCE MEASUREMENT OF STREAMING VIDEO

    公开(公告)号:US20190158564A1

    公开(公告)日:2019-05-23

    申请号:US16091473

    申请日:2017-03-06

    申请人: SSIMWAVE Inc.

    IPC分类号: H04L29/06 H04N21/24

    摘要: Disclosed are system and method that auto-mate measurement of end users' quality-of-experience (QoE) when perceiving the video being streamed to the users' viewing devices. The overall user QoE is measured and computed by combining the instantaneous presentation quality, the playback smoothness quality, and the interactions between them. Prediction accuracy is thus significantly improved. The instantaneous and end-of-process QoE measures created by the system and method described are suitable for the monitoring and optimization of media streaming systems and services.

    MACROBLOCKING ARTIFACT DETECTION
    7.
    发明申请

    公开(公告)号:US20210344930A1

    公开(公告)日:2021-11-04

    申请号:US17237722

    申请日:2021-04-22

    申请人: SSIMWAVE INC.

    发明人: Zhou WANG Kai ZENG

    摘要: Macroblocking artifacts are assessed in an encoded video. Edges are detected and edge strengths are computed at macroblock boundaries in each decoded frame of the video. The detected edges are paired at horizontal or vertical sides of each macroblock to identify macroblock edge pairs. A macroblocking level of the frame is identified according to the macroblock edge pairs. For instance, for each of the macroblock edge pairs, the edges of the pair are identified as being macroblocking edges if edge strengths of both sides of the pair exceed a significance threshold, and the macroblocking level of the frame is determined by aggregating the macroblocking edges in the frame.

    REAL-TIME LATENCY MEASUREMENT OF VIDEO STREAMS

    公开(公告)号:US20210274231A1

    公开(公告)日:2021-09-02

    申请号:US17187048

    申请日:2021-02-26

    申请人: SSIMWAVE INC.

    摘要: Frames of a video stream collected at first and second points along a video delivery chain are buffered into first and second buffers, respectively, the second point being downstream the video delivery chain from the first point. A control group is identified as a subset of frames of the second buffer. Correlations of extracted features of the control group to extracted features of successive windows of frames of the first buffer are computed, the extracted features being based on spatial information and temporal information of the video stream. A delay between the video stream collected at the first point and the video stream collected at the second point is identified according to a maximum correlation of the correlations.