IDENTIFYING NON-OCCLUDED FACES BY LEARNING FROM PARTIALLY OCCLUDED FACES
    132.
    发明申请
    IDENTIFYING NON-OCCLUDED FACES BY LEARNING FROM PARTIALLY OCCLUDED FACES 有权
    通过从部分监测的面上学习鉴定非监测因素

    公开(公告)号:US20170032179A1

    公开(公告)日:2017-02-02

    申请号:US14815108

    申请日:2015-07-31

    CPC classification number: G06K9/00288 G06K9/00268 G06K9/52 G06K9/6256

    Abstract: Systems and methods of facial recognition of non-occluded or non-obstructed faces is provided. The method includes generating a skin mask based on an occluded image of an individual and removing occluded areas for the occluded image using the skin mask so that skin areas remain. The method further includes generating a correlation filter based on the occluded image. The method further includes applying the skin mask and correlation filter to a non-occluded input image of an individual. The method further includes generating a correlation output based on applying the skin mask and correlation filter to the non-occluded input image. The correlation output may indicate a likelihood that the second individual in the non-occluded input image is of the first individual in the occluded image.

    Abstract translation: 提供了非闭塞或非阻塞面的面部识别系统和方法。 该方法包括基于个体的闭塞图像生成皮肤掩模,并使用皮肤掩模去除遮挡图像的遮挡区域,从而保留皮肤区域。 该方法还包括基于遮挡图像生成相关滤波器。 该方法还包括将皮肤掩模和相关滤波器应用于个体的非闭塞输入图像。 该方法还包括基于将蒙皮和相关滤波器应用于非遮挡输入图像来产生相关输出。 相关输出可以指示非闭塞输入图像中的第二个体在闭塞图像中是第一个体的可能性。

    MOBILE VIDEO QUALITY PREDICTION SYSTEMS AND METHODS
    133.
    发明申请
    MOBILE VIDEO QUALITY PREDICTION SYSTEMS AND METHODS 审中-公开
    移动视频质量预测系统和方法

    公开(公告)号:US20170019454A1

    公开(公告)日:2017-01-19

    申请号:US15211798

    申请日:2016-07-15

    Inventor: Hamad ALMOHAMEDH

    Abstract: A method of developing a MVQP system includes determining network factors affecting video quality over a LTE network; displaying, via live video streaming, video recordings; receiving evaluations of the displayed video recordings to form a subjective assessment; calculating a subjective MOS for the video recordings based on the corresponding subjective assessment and the network factors; calculating a correlation between the received evaluations and the subjective MOS for the video recordings; receiving and saving the video recordings for an objective assessment; measuring the network factors during reception of the video recordings in the objective assessment; predicting an objective MOS for the video recordings based on the measured network factors, the calculated correlation, and at least one weight value; comparing the predicted objective MOS to the subjective MOS; and based on the comparison, modifying the weight value. The measuring, predicting, and comparing are repeated until a predetermined condition is met.

    Abstract translation: 开发MVQP系统的方法包括确定影响LTE网络上的视频质量的网络因素; 通过实时视频流显示视频录像; 对所显示的视频录像进行评估以形成主观评估; 基于相应的主观评估和网络因素计算视频录像的主观MOS; 计算接收到的评估与用于视频记录的主观MOS之间的相关性; 接收和保存视频录像进行客观评估; 在客观评估中测量视频录像接收时的网络因素; 基于测量的网络因素,所计算的相关性和至少一个权重值来预测用于视频记录的目标MOS; 将预测的目标MOS与主观MOS进行比较; 并根据比较,修改权重值。 重复测量,预测和比较,直到满足预定条件。

Patent Agency Ranking