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    • 2. 发明授权
    • Method of facial landmark detection
    • 面部地标检测方法
    • US09471829B2
    • 2016-10-18
    • US13997296
    • 2011-03-31
    • Ang LiuYangzhou DuTao WangJianguo LiQiang LiYimin Zhang
    • Ang LiuYangzhou DuTao WangJianguo LiQiang LiYimin Zhang
    • G06K9/00G06K9/46G06K9/62
    • G06K9/00248G06K9/00281G06K9/6209
    • Detecting facial landmarks in a face detected in an image may be performed by first cropping a face rectangle region of the detected face in the image and generating an integral image based at least in part on the face rectangle region. Next, a cascade classifier may be executed for each facial landmark of the face rectangle region to produce one response image for each facial landmark based at least in part on the integral image. A plurality of Active Shape Model (ASM) initializations may be set up. ASM searching may be performed for each of the ASM initializations based at least in part on the response images, each ASM search resulting in a search result having a cost. Finally, a search result of the ASM searches having a lowest cost function may be selected, the selected search result indicating locations of the facial landmarks in the image.
    • 可以通过首先裁剪图像中检测到的面部的面部矩形区域并且至少部分地基于面部矩形区域来生成整体图像来检测在图像中检测到的面部中的面部界标。 接下来,可以对面部矩形区域的每个面部标记执行级联分类器,以至少部分地基于积分图像来为每个面部标记产生一个响应图像。 可以设置多个活动形状模型(ASM)初始化。 可以至少部分地基于响应图像来对每个ASM初始化执行ASM搜索,每个ASM搜索导致搜索结果具有成本。 最后,可以选择具有最低成本函数的ASM搜索的搜索结果,所选择的搜索结果指示图像中的面部地标的位置。
    • 4. 发明授权
    • Detecting and indexing characters of videos by NCuts and page ranking
    • 通过NCuts和页面排名检测和索引视频的字符
    • US08705810B2
    • 2014-04-22
    • US12006019
    • 2007-12-28
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • G06K9/00
    • G06K9/00268G06F17/30781
    • Apparatuses, systems, and computer program products that detect and/or index characters of videos are disclosed. One or more embodiments comprise an apparatus an apparatus having a feature extraction module and a cast indexing module. The feature extraction module may extract features of a scale invariant feature transform (SIFT) for face sets of a video and the cast indexing module may detect one or more characters of the video via one or more associations of clusters of the features. Some alternative embodiments may include a cast ranking module to sort characters of the video, considering such factors as appearance times of the characters, appearance frequencies of the characters, and page rankings of the characters. The apparatus may associate or partition the clusters based on a normalized cut process, as well as detect the characters based on measures of distances of nodes associated with the features. Numerous embodiments may detect the characters based upon partitioning the clusters via solutions for eigenvalue systems for matrices of nodes of the clusters.
    • 公开了检测和/或索引视频字符的装置,系统和计算机程序产品。 一个或多个实施例包括具有特征提取模块和铸造分度模块的装置的装置。 特征提取模块可以提取视频的面部集合的尺度不变特征变换(SIFT)的特征,并且投射索引模块可以经由特征的聚类的一个或多个关联来检测视频的一个或多个字符。 考虑到字符的出现时间,字符的出现频率以及字符的页面排序等因素,一些备选实施例可以包括用于对视频的字符进行排序的投射排序模块。 该设备可以基于归一化的切割过程来关联或分割群集,并且基于与特征相关联的节点的距离的测量来检测角色。 许多实施例可以基于通过针对簇的节点的矩阵的特征值系统的解决方案来划分簇来检测字符。
    • 5. 发明授权
    • Device, system, and method for indexing digital image frames
    • 用于索引数字图像帧的设备,系统和方法
    • US08620111B2
    • 2013-12-31
    • US13431524
    • 2012-03-27
    • Jianguo LiTao WangYimin Zhang
    • Jianguo LiTao WangYimin Zhang
    • G06K9/60G06K9/62
    • H04N9/8205
    • Methods and apparatus are disclosed to index digital frames. An example method includes identifying channel types associated with a plurality of image frames, splitting each one of the plurality of image frames into a respective color channel based on the identified channel types, applying a local binary pattern to each of the respective color channels to generate a respective pattern number, generating a spatial representation of each respective pattern number to determine transition probabilities for each channel type, and identifying a degree of similarity between the plurality of image frames based on the transition probabilities.
    • 公开了索引数字帧的方法和装置。 示例性方法包括识别与多个图像帧相关联的频道类型,基于所识别的频道类型将多个图像帧中的每一个分成相应的颜色频道,将本地二进制模式应用于各个颜色通道中的每一个以产生 相应的模式号,产生每个相应模式号的空间表示,以确定每个信道类型的转换概率,并且基于转换概率来识别多个图像帧之间的相似度。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR OBTAINING AND PROCESSING IMAGE FEATURES
    • 用于获取和处理图像特征的方法和装置
    • US20090285473A1
    • 2009-11-19
    • US11961659
    • 2007-12-20
    • Jianguo LiTao WangYimin Zhang
    • Jianguo LiTao WangYimin Zhang
    • G06K9/62
    • G06K9/4619G06K9/6256
    • Machine-readable media, methods, apparatus and system for obtaining and processing image features are described. In some embodiments, groups of training features derived from regions of training images may be trained to obtain a plurality of classifiers, each classifier corresponding to each group of training features. The plurality of classifiers may be used to classify groups of validation features derived from regions of validation images to obtain a plurality of weights, wherein each weight corresponds to each region of the validation images and indicates how important the each region of the validation images is. Then, a weight may be discarded from the plurality of weights based upon a certain criterion.
    • 描述了用于获得和处理图像特征的机器可读介质,方法,装置和系统。 在一些实施例中,可以训练从训练图像的区域导出的训练特征的组以获得多个分类器,每个分类器对应于每组训练特征。 多个分类器可以用于对从验证图像的区域导出的验证特征的组进行分类以获得多个权重,其中每个权重对应于验证图像的每个区域,并且指示验证图像的每个区域有多重要。 然后,可以基于一定的标准从多个权重中舍弃权重。
    • 8. 发明授权
    • Tracking and recognition of faces using selected region classification
    • 使用选择的区域分类来跟踪和识别面部
    • US09489567B2
    • 2016-11-08
    • US13996496
    • 2011-04-11
    • Tao WangJianguo LiYangzhou DuQiang LiYimin Zhang
    • Tao WangJianguo LiYangzhou DuQiang LiYimin Zhang
    • G06K9/00
    • G06K9/00288G06K9/00221
    • Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.
    • 公开了与面部跟踪和识别有关的方法,装置和文章。 在实施例中,可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后,可以从面部的选定区域提取特征数据,以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后,可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值,则可以输出或以其他方式使用已知面部的识别。 此外,可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后,一个给定的被追踪的面孔可能与一个已知的面孔相关联。
    • 10. 发明授权
    • Video editing methods and systems
    • 视频编辑方法和系统
    • US08605795B2
    • 2013-12-10
    • US12211883
    • 2008-09-17
    • Patricia P. WangYimin ZhangTao WangJianguo Li
    • Patricia P. WangYimin ZhangTao WangJianguo Li
    • H04N7/18
    • G11B27/034
    • Video editing methods and systems, including methods and systems to identify video clips having similar visual characteristics. Video clips may correspond to first and second videos, which may include a professional music video and a personal video, respectively. Identified video clips of the personal video may be combined into a new video clip, and music corresponding to visually similar video clips of the music video may be associated with the corresponding video clips of the new video. Video frames of the video clips may be characterized with respect to one or more visual features, which may include one or more of facial and/or body features, salient objects, camera motion, and image quality. Characterizations may be compared between video clips on an incremental basis. Characterization of a music video may implicitly model an underlying correlation between music rhythm and changes in visual appearance.
    • 视频编辑方法和系统,包括识别具有相似视觉特征的视频剪辑的方法和系统。 视频剪辑可以分别对应于第一和第二视频,其可以分别包括专业音乐视频和个人视频。 识别的个人视频的视频剪辑可以被组合成新的视频剪辑,并且对应于音乐视频的视觉上相似的视频剪辑的音乐可以与新视频的相应视频剪辑相关联。 视频剪辑的视频帧可以相对于一个或多个视觉特征来表征,其可以包括面部和/或身体特征,显着对象,照相机运动和图像质量中的一个或多个。 可以在增量的基础上比较视频片段之间的特征。 音乐视频的表征可以隐含地模拟音乐节奏和视觉外观变化之间的底层相关性。