Face detection system for video encoders
    1.
    发明授权
    Face detection system for video encoders 有权
    视频编码器面部检测系统

    公开(公告)号:US08270476B2

    公开(公告)日:2012-09-18

    申请号:US12347927

    申请日:2008-12-31

    IPC分类号: H04N7/50

    摘要: Embodiments include a codec for use in a videoconferencing or similar system includes a video encoder pipeline that has a pre-processor component that is optimized to detect faces and compress the facial video data in an optimum manner. The codec has a pre-processing step that analyzes each frame on a per macroblock basis to determine the mathematical activity level per block. The activity level calculation is used as a parameter to the bitrate control module of the encoder to control the quantization, and thus the fine grained quality of the output data. An object detection module (e.g., a face detector) is placed in the pre-processing step. The object detection data is then combined with the activity level and object detection certainty value through a combinatorial algorithm comprising a weighted average or normalized multiplication process.

    摘要翻译: 实施例包括用于视频会议或类似系统的编解码器,包括视频编码器流水线,该视频编码器流水线具有被优化以便以最佳方式检测面部并压缩面部视频数据的预处理器组件。 编解码器具有预处理步骤,其基于每个宏块分析每个帧以确定每个块的数学活动水平。 活动级别计算用作编码器的比特率控制模块的参数,以控制量化,从而使输出数据的细粒度质量。 物体检测模块(例如,面部检测器)被放置在预处理步骤中。 然后通过包括加权平均或归一化乘法过程的组合算法将对象检测数据与活动级别和对象检测确定性值组合。

    Face Detection System for Video Encoders
    2.
    发明申请
    Face Detection System for Video Encoders 有权
    视频编码器人脸检测系统

    公开(公告)号:US20100166055A1

    公开(公告)日:2010-07-01

    申请号:US12347927

    申请日:2008-12-31

    IPC分类号: H04N7/12 G06K9/00

    摘要: Embodiments include a codec for use in a videoconferencing or similar system includes a video encoder pipeline that has a pre-processor component that is optimized to detect faces and compress the facial video data in an optimum manner. The codec has a pre-processing step that analyzes each frame on a per macroblock basis to determine the mathematical activity level per block. The activity level calculation is used as a parameter to the bitrate control module of the encoder to control the quantization, and thus the fine grained quality of the output data. An object detection module (e.g., a face detector) is placed in the pre-processing step. The object detection data is then combined with the activity level and object detection certainty value through a combinatorial algorithm comprising a weighted average or normalized multiplication process.

    摘要翻译: 实施例包括用于视频会议或类似系统的编解码器,其包括视频编码器流水线,该视频编码器流水线具有被优化以便以最佳方式检测面部并压缩面部视频数据的预处理器组件。 编解码器具有预处理步骤,其基于每个宏块分析每个帧以确定每个块的数学活动水平。 活动级别计算用作编码器的比特率控制模块的参数,以控制量化,从而使输出数据的细粒度质量。 在预处理步骤中放置物体检测模块(例如,面部检测器)。 然后通过包括加权平均或归一化乘法过程的组合算法将对象检测数据与活动级别和对象检测确定性值组合。