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    • 24. 发明申请
    • Method and Apparatus for Foreground Object Detection
    • 前景物体检测方法与装置
    • US20130084006A1
    • 2013-04-04
    • US13248242
    • 2011-09-29
    • Tao ZhangYu-Pao Tsai
    • Tao ZhangYu-Pao Tsai
    • G06K9/34
    • G06T7/0081G06T7/11G06T7/143G06T7/194G06T2207/10028
    • The present invention utilizes depth images captured by a depth camera to detect foreground/background. In one embodiment, the method comprises establishing a single background distribution model, updating the background distribution model if a new depth value for the pixel can be represented by the background distribution model, skipping update of the background distribution model if the pixel is before the background, and replacing the background distribution model if the pixel is behind the background. In case that the background distribution model does not exist initially, a new background distribution model is created. In one embodiment of the present invention, the non-meaningful pixels are handled. In another embodiment, fluctuation of the depth value due to noise is handled by using a candidate background distribution model. In yet another embodiment, the noise for pixels around object edges is handled by using a mixture of two background distribution models.
    • 本发明利用深度相机拍摄的深度图像来检测前景/背景。 在一个实施例中,该方法包括建立单个背景分布模型,如果像素的新深度值可以由背景分布模型表示,则更新背景分布模型,如果像素在背景之前跳过背景分布模型的更新 并且如果像素在背景之后,则替换背景分布模型。 在背景分布模型最初不存在的情况下,将创建一个新的背景分布模型。 在本发明的一个实施例中,处理非有意义的像素。 在另一个实施例中,通过使用候选背景分布模型来处理由噪声引起的深度值的波动。 在另一个实施例中,通过使用两个背景分布模型的混合来处理对象边缘周围的像素的噪声。
    • 25. 发明申请
    • Method and Apparatus of Temporal Motion Vector Prediction
    • 时间运动矢量预测的方法与装置
    • US20120008688A1
    • 2012-01-12
    • US13039555
    • 2011-03-03
    • Yu-Pao TsaiJian-Liang LinYu-Wen HuangShaw-Min Lei
    • Yu-Pao TsaiJian-Liang LinYu-Wen HuangShaw-Min Lei
    • H04N7/26
    • H04N19/577H04N19/109H04N19/176H04N19/52H04N19/61
    • An apparatus and method for motion vector prediction for a current block in a picture are disclosed. In video coding systems, the spatial and temporal redundancy is exploited using spatial and temporal prediction to reduce the information to be transmitted. Motion Vector Prediction (MVP) has been used to further conserve the bitrate associated with motion vector. In conventional temporal MVP, the predictor is often based on a single candidate such as the co-located motion vector in the previous frame/picture. If the co-located motion vector in the previous frame/picture does not exist, the predictor for the current block is not available. A technique for improved MVP is disclosed where the MVP utilized multiple candidates based on co-located motion vectors from future and/or past reference pictures. The candidates are arranged according to priority order to provide better availability of MVP and also to provide more accurate prediction. Furthermore, the MVP technique disclosed can be operated in a closed-loop fashion so that no additional side information or minimum additional side information is required.
    • 公开了一种用于图像中当前块的运动矢量预测的装置和方法。 在视频编码系统中,使用空间和时间预测来利用空间和时间冗余来减少要发送的信息。 运动矢量预测(MVP)已被用于进一步节省与运动矢量相关的比特率。 在传统的时间MVP中,预测器通常基于诸如前一帧/图像中的同位置运动矢量的单个候选。 如果前一帧/图像中的同位置运动矢量不存在,则当前块的预测器不可用。 公开了一种用于改进MVP的技术,其中MVP基于来自未来和/或过去的参考图片的同位置运动矢量利用多个候选。 候选人按照优先顺序排列,以提供更好的MVP可用性,并提供更准确的预测。 此外,所公开的MVP技术可以以闭环方式操作,使得不需要额外的辅助信息或最小的附加侧信息。
    • 27. 发明授权
    • Methods for input-output calibration and image rendering
    • 输入输出校准和图像渲染方法
    • US09122346B2
    • 2015-09-01
    • US13426604
    • 2012-03-22
    • Chi-Ling WuYu-Pao TsaiChia-Ping ChenYu-Ting Chen
    • Chi-Ling WuYu-Pao TsaiChia-Ping ChenYu-Ting Chen
    • G06F3/042G06F3/041
    • G06F3/0418G06F3/042
    • One of the embodiments of the invention provides an input-output calibration method performed by a processing unit connected to an output device and an input device. The output device and the input device correspond to an output device coordinate system and an input device coordinate system, respectively. The processing unit first derives M calibration points' coordinates in the input device coordinate system by using the input device to sense a viewer specifying the M calibration points' positions, wherein M is a positive integer. Then, the processing unit uses the M calibration points' coordinates in the output device coordinate system and coordinates in the input device coordinate system to derive the relationship between the output device coordinate system and the input device coordinate system.
    • 本发明的一个实施例提供了一种由连接到输出设备和输入设备的处理单元执行的输入 - 输出校准方法。 输出装置和输入装置分别对应于输出装置坐标系和输入装置坐标系。 处理单元首先通过使用输入装置来感测指定M个校准点位置的观察者来导出输入装置坐标系中的M个校准点的坐标,其中M是正整数。 然后,处理单元使用输出装置坐标系中的M个校准点的坐标和输入装置坐标系中的坐标来导出输出装置坐标系和输入装置坐标系之间的关系。
    • 29. 发明授权
    • Method and apparatus of motion vector prediction with extended motion vector predictor
    • 运动矢量预测的方法和装置与扩展运动矢量预测器
    • US08711940B2
    • 2014-04-29
    • US13089233
    • 2011-04-18
    • Jian-Liang LinYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • Jian-Liang LinYu-Pao TsaiYu-Wen HuangShaw-Min Lei
    • H04N11/02
    • H04N19/61H04N19/517
    • A method and apparatus for determining a motion vector predictor (MVP) or a MVP candidate based on a MVP set are disclosed. In video coding systems, the spatial and temporal redundancy is exploited using spatial and temporal prediction to reduce the video data to be transmitted or stored. Motion vector prediction has been used to further conserve the bitrate associated with motion vector coding. Motion vector prediction technique being developed for the current high efficiency video coding (HEVC) only uses a MVP candidate set including spatial MVP candidates and a temporal candidate corresponding to the co-located block. In the current disclosure, the spatial and temporal motion vector predictor set is extended to include at least one spatially neighboring block associated with list 0 reference pictures and list 1 reference pictures, and co-located block and its neighboring block associated with list 0 reference pictures and list 1 reference pictures.
    • 公开了一种用于基于MVP集确定运动矢量预测器(MVP)或MVP候选的方法和装置。 在视频编码系统中,使用空间和时间预测来利用空间和时间冗余来减少要发送或存储的视频数据。 运动矢量预测已被用于进一步节省与运动矢量编码相关的比特率。 针对当前的高效率视频编码(HEVC)开发的运动矢量预测技术仅使用包括空间MVP候选的MVP候选组和对应于同位置块的时间候选。 在本公开中,空间和时间运动矢量预测器集合被扩展为包括与列表0参考图片和列表1参考图片相关联的至少一个空间上相邻的块,以及与列表0参考图片相关联的共址块及其相邻块 并列出1个参考图片。
    • 30. 发明授权
    • Region-based method for iterative regularization image enhancement, and associated region-based apparatus and associated processing circuit
    • 用于迭代正则化图像增强的基于区域的方法,以及相关的基于区域的装置和相关处理电路
    • US08457430B2
    • 2013-06-04
    • US12534154
    • 2009-08-02
    • Yu-Pao TsaiYu-Wen HuangYing-Jui ChenShaw-Min Lei
    • Yu-Pao TsaiYu-Wen HuangYing-Jui ChenShaw-Min Lei
    • G06K9/40
    • G06T5/002G06T5/20G06T2207/20012
    • A region-based method for iterative regularization image enhancement, includes: for each region of a plurality of regions of an image, performing at least one gradient calculation of an objective function of a latest representative function of the region and updating the latest representative function according to the gradient calculation; and for the region of the plurality of regions of the image, when at least one predetermined convergence criterion is not satisfied, iteratively updating the latest representative function according to at least one gradient calculation of the same objective function of the latest representative function. In particular, the region-based method further includes: for the region of the plurality of regions of the image, when the predetermined convergence criterion is satisfied, performing postprocessing on the latest representative function of the region to generate an iteratively regularized partial image corresponding to the region. An associated region-based apparatus and processing circuit are further provided.
    • 一种用于迭代正则化图像增强的基于区域的方法包括:对于图像的多个区域中的每个区域,执行所述区域的最新代表性函数的目标函数的至少一个梯度计算,并且根据 到梯度计算; 并且对于图像的多个区域的区域,当不满足至少一个预定收敛标准时,根据最新代表函数的相同目标函数的至少一个梯度计算迭代地更新最新代表函数。 特别地,基于区域的方法还包括:对于图像的多个区域的区域,当满足预定的收敛标准时,对该区域的最新的代表性函数执行后处理,以生成对应于 该区域。 还提供了一种基于区域的设备和处理电路。