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    • 42. 发明申请
    • METHOD AND APPARATUS FOR ENCODING VIDEO DATA STREAM
    • 编辑视频数据流的方法和装置
    • US20100040150A1
    • 2010-02-18
    • US11722187
    • 2005-12-15
    • Jin Wang
    • Jin Wang
    • H04N7/32
    • H04N19/142H04N19/107H04N19/176
    • The invention discloses a method and apparatus for encoding video data stream. In accordance with the method provided by the invention, firstly, compares the difference between each data block of the unit to be encoded and a reference data block having the corresponding address in a reference unit; and, determines whether the difference corresponding to each data block complies with a preset reference value. If it is less than the preset reference value, then the macro-block is indicated for obtaining the video data of the macro-block by decoding on the basis of data of reference data macro-block. Otherwise the macro-block is encoded. With the invention, it can be determined whether the macro-block should be encoded without motion prediction, motion compensation and/or DCT, etc., which greatly simplifies the procedure of determining whether the macro-block should be encoded and saves the system resources.
    • 本发明公开了一种视频数据流编码方法和装置。 根据本发明提供的方法,首先比较要编码的单元的每个数据块与参考单元中具有相应地址的参考数据块之间的差异; 并且确定与每个数据块相对应的差是否符合预设的参考值。 如果小于预设的参考值,则指示宏块用于通过基于参考数据宏块的数据的解码来获得宏块的视频数据。 否则,宏块被编码。 利用本发明,可以确定宏块是否应该被编码而不需要运动预测,运动补偿和/或DCT等,这大大简化了确定宏块是否应该被编码并节省系统资源的过程 。
    • 43. 发明授权
    • Facial feature detection on mobile devices
    • 移动设备上的面部特征检测
    • US07643659B2
    • 2010-01-05
    • US11323654
    • 2005-12-31
    • Jiangen CaoShu LiHuaqi ZhangJin Wang
    • Jiangen CaoShu LiHuaqi ZhangJin Wang
    • G06K9/00G06K9/56G06K9/40G06K9/20
    • G06K9/00604G06K9/00234G06K9/00248G06K9/00281G06K9/4614
    • Locating an eye includes generating an intensity response map by applying a 3-rectangle filter and applying K-mean clustering to the map to determine the eye. Locating an eye corner includes applying logarithm transform and grayscale stretching to generate a grayscale eye patch, generating a binary map of the patch by using a threshold based on a histogram of the patch, and estimating the eye corner by averaging coordinates weighted by minimal eigenvalues of spatial gradient matrices in a search region based on the binary map. Locating a mouth corner includes generating another intensity response map and generating another binary map using another threshold based on another histogram of the intensity response map. Locating a chin or a cheek includes applying angle constrained gradient analysis to reject locations that cannot be the chin or cheek. Locating a cheek further includes removing falsely detected cheeks by parabola fitting curves through the cheeks.
    • 定位眼睛包括通过应用3矩形滤波器并将K均值聚类应用于地图来确定眼睛来产生强度响应图。 定位眼角包括应用对数变换和灰度拉伸以产生灰度眼睛斑块,通过使用基于斑块的直方图的阈值来生成斑块的二值图,并且通过平均坐标加权的坐标来估计眼角,该坐标是通过最小特征值 基于二进制图的搜索区域中的空间梯度矩阵。 定位嘴角包括产生另一个强度响应图并使用基于强度响应图的另一个直方图的另一个阈值生成另一二进制图。 定位下巴或脸颊包括应用角度约束梯度分析来拒绝不能是下巴或脸颊的位置。 定位脸颊进一步包括通过抛物线拟合曲线通过脸颊去除错误检测到的脸颊。
    • 45. 发明申请
    • Method for detecting facial expression and repairing smile face of portrait photo
    • 检测面部表情和修复肖像照片的笑脸的方法
    • US20090285455A1
    • 2009-11-19
    • US12153297
    • 2008-05-16
    • Shu LiHan QiuJin Wang
    • Shu LiHan QiuJin Wang
    • G06K9/00
    • G06K9/00281G06K9/00308G06T11/00
    • A method for detecting a facial expression and repairing a smile face of a portrait photo includes the steps of: detecting a location and a range of a mouth region in an inputted portrait photo; capturing a patch in the mouth region and a predetermined peripheral range thereof; executing a comparison process to a smile state or a stiff state of the mouth region in the patch by a mouth state classifier; executing a calculation process to a repaired region of the mouth region when the mouth region is determined to be in the stiff state, in order to calculate a location of a plurality of feature points in the repaired region of the mouth region; and executing an image warping process to the location of the feature points and adjacent pixels thereof, for generating a portrait photo showing a smile state.
    • 用于检测人脸照片的脸部表情和修复微笑脸部的方法包括以下步骤:检测所输入的肖像照片中的口部区域的位置和范围; 在嘴区域和其预定的周边范围内捕获贴片; 通过嘴状态分类器对贴片中的口部区域的微笑状态或僵硬状态执行比较处理; 为了计算口部区域的修复区域中的多个特征点的位置,对嘴部区域的判定为处于刚性状态的口部区域进行计算处理, 以及对其特征点和相邻像素的位置执行图像变形处理,以产生显示微笑状态的肖像照片。
    • 50. 发明申请
    • Automatic Photo Orientation Detection
    • 自动照片定位检测
    • US20090129636A1
    • 2009-05-21
    • US11942651
    • 2007-11-19
    • Li MeiJin Wang
    • Li MeiJin Wang
    • G06K9/46
    • G06K9/3208G06K9/00228H04N1/3877
    • A method determining image orientation includes determining if an image includes an orientation tag and if the tag indicates the image is rotated +90 or −90 degrees. When the image does not include the tag or the tag does not indicates the image is rotated, the method includes determining if a face is detected in the original image and displaying the original image when a face is detected. When a face is not detected, the method includes rotating the image +90 and −90 degrees and detecting a face in the rotated images. When a face is not detected, the method includes applying a classifier to determine the image's proper orientation. When a face is detected in one rotated image, the method includes displaying the rotated image. When a face is detected in both rotated images, the method includes applying the classifier to determine the image's proper orientation.
    • 确定图像取向的方法包括确定图像是否包括方位标签,以及标签是否指示图像旋转+90或-90度。 当图像不包括标签或标签不表示图像旋转时,该方法包括确定在检测到面部时是否在原始图像中检测到面部并显示原始图像。 当未检测到脸部时,该方法包括旋转图像+90和-90度并检测旋转图像中的脸部。 当未检测到脸部时,该方法包括应用分类器来确定图像的正确取向。 当在一个旋转的图像中检测到脸部时,该方法包括显示旋转的图像。 当在两个旋转的图像中检测到脸部时,该方法包括应用分类器来确定图像的正确定向。