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    • 91. 发明授权
    • System and method for face recognition using synthesized training images
    • 使用合成训练图像进行人脸识别的系统和方法
    • US06975750B2
    • 2005-12-13
    • US09728936
    • 2000-12-01
    • Jie YanHong-Jiang Zhang
    • Jie YanHong-Jiang Zhang
    • G06K9/00G06K9/62G06T15/20G06T17/00G06T15/00
    • G06T17/00G06K9/00288G06K9/6256
    • A system and method that includes a virtual human face generation technique which synthesizes images of a human face at a variety of poses. This is preferably accomplished using just a frontal and profile image of a specific subject. An automatic deformation technique is used to align the features of a generic 3-D graphic face model with the corresponding features of these pre-provided images of the subject. Specifically, a generic frontal face model is aligned with the frontal image and a generic profile face model is aligned with the profile image. The deformation procedure results in a single 3-D face model of the specific human face. It precisely reflects the geometric features of the specific subject. After that, subdivision spline surface construction and multi-direction texture mapping techniques are used to smooth the model and endow photometric detail to the specific 3-D geometric face model. This smoothed and texturized specific 3-D face model is then used to generate 2-D images of the subject at a variety of face poses. These synthesized face images can be used to build a set of training images that may be used to train a recognition classifier.
    • 一种包括以各种姿势合成人脸图像的虚拟人脸生成技术的系统和方法。 这优选仅使用特定对象的正面和轮廓图像来完成。 使用自动变形技术将通用3-D图形面部模型的特征与对象的这些预先提供的图像的对应特征对齐。 具体来说,通常的正面面部模型与正面图像对准,并且通用轮廓面部模型与轮廓图像对准。 变形过程导致特定人脸的单个3-D面部模型。 它精确地反映了具体主题的几何特征。 之后,使用细分花键表面构造和多向纹理映射技术来平滑模型,并将光度细节赋予特定的3-D几何面模型。 然后使用这种平滑和纹理化的特定3-D面部模型在各种脸部姿势下产生受试者的2-D图像。 这些合成的面部图像可以用于构建可用于训练识别分类器的一组训练图像。
    • 93. 发明申请
    • Robust camera motion analysis for home video
    • 用于家庭视频的强大的相机运动分析
    • US20050110875A1
    • 2005-05-26
    • US10720677
    • 2003-11-24
    • Yu-Fei MaHong-Jiang ZhangDongjung Lan
    • Yu-Fei MaHong-Jiang ZhangDongjung Lan
    • G03B17/00G06K9/40G06T7/20H04N5/14H04N5/228H04N17/00
    • G06T7/20H04N5/145H04N17/002
    • A robust camera motion analysis method is described. In an implementation, a method includes analyzing video having sequential frames to determine one or more camera motions that occurred when sequential frames of the video were captured. The one or more camera motions for each frame are described by a set of displacement curves, a mean absolute difference (MAD) curve, and a major motion (MAJ) curve. The set of displacement curves describe the one or more camera motions in respective horizontal (H), vertical (V), and radial (R) directions. The MAD curve relates a minimum MAD value from the set of displacement curves. The MAJ curve is generated from the minimum MAD value and provides one or more qualitative descriptions that describe the one or more camera motions as at least one of still, vertical, horizontal and radial.
    • 描述了鲁棒的摄像机运动分析方法。 在实现中,一种方法包括分析具有顺序帧的视频,以确定在捕获视频的连续帧时发生的一个或多个相机运动。 通过一组位移曲线,平均绝对差(MAD)曲线和主运动(MAJ)曲线来描述每帧的一个或多个相机运动。 位移曲线集描述了水平(H),垂直(V)和径向(R)方向上的一个或多个相机运动。 MAD曲线与位移曲线集合中的最小MAD值相关。 从最小MAD值生成MAJ曲线,并提供描述一个或多个相机运动作为静止,垂直,水平和径向中的至少一个的一个或多个定性描述。
    • 96. 发明申请
    • Image retrieval systems and methods with semantic and feature based relevance feedback
    • 图像检索系统和方法具有基于语义和特征的相关性反馈
    • US20050055344A1
    • 2005-03-10
    • US10969308
    • 2004-10-20
    • Wen-Yin LiuHong-Jiang ZhangYe Lu
    • Wen-Yin LiuHong-Jiang ZhangYe Lu
    • G06T1/00G06F17/30
    • G06F17/30265G06F17/30256G06F19/00Y10S707/99933Y10S707/99934Y10S707/99935
    • An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries. In the described implementation, the image retrieval system seamlessly integrates feature-based relevance feedback and semantic-based relevance feedback.
    • 图像检索系统执行基于关键词和基于内容的图像检索。 用户界面允许用户使用关键字和示例图像的组合来指定查询。 根据输入查询,图像检索系统查找与查询中的关键字匹配的关键字和/或具有类似低级特征(如颜色,纹理和形状)的图像。 系统对图像进行排序并将其返回给用户。 用户界面允许用户识别与查询更相关的图像,以及与查询较少或不相关的图像。 用户可以选择通过从结果集中选择一个示例图像并在新查询中提交其低级特征来优化搜索。 图像检索系统监视用户反馈,并使用它来优化任何搜索工作,并训练自己以用于将来的搜索查询。 在所描述的实现中,图像检索系统将基于特征的相关性反馈和基于语义的相关性反馈无缝集成。
    • 99. 发明授权
    • Automatic caption text detection and processing for digital images
    • 数字图像的自动字幕文本检测和处理
    • US06185329B2
    • 2001-02-06
    • US09170995
    • 1998-10-13
    • Hong Jiang ZhangYu Zhong
    • Hong Jiang ZhangYu Zhong
    • G06K934
    • G06K9/3266G06K2209/01H04N1/40062
    • A texture-based text localization system proceeds directly in the compressed domain for DCT compressed JPEG images or MPEG videos. The DCT coefficient values in JPEG images and MPEG videos, which capture the directionality and periodicity of local image blocks, are used as texture feature measures to classify text areas. Each unit block in the compressed images is classified as either text or nontext. In addition, post-processing in both the compressed domain and the reconstructed candidate text areas can be used to refine the results. For video frames that contain text, the displacement of text between two consecutive frames is estimated which gives the velocity of the moving text. This temporal displacement information is also used to further refine the localization results. The text is then processed to provide content or speech output.
    • 基于纹理的文本定位系统直接在DCT压缩JPEG图像或MPEG视频的压缩域中进行。 JPEG图像和MPEG视频中捕获局部图像块的方向性和周期性的DCT系数值被用作对文本区域进行分类的纹理特征量度。 压缩图像中的每个单位块被分类为文本或非文本。 另外,可以使用压缩域和重建的候选文本区域中的后处理来优化结果。 对于包含文本的视频帧,估计两个连续帧之间的文本位移给出了移动文本的速度。 该时间位移信息也用于进一步改善定位结果。 然后处理文本以提供内容或语音输出。
    • 100. 发明授权
    • Copying of animation effects from a source object to at least one target object
    • 将动画效果从源对象复制到至少一个目标对象
    • US09589381B2
    • 2017-03-07
    • US12138401
    • 2008-06-12
    • Jason Xiaobo ZhaoXiaoyan ShiJiang Zhang
    • Jason Xiaobo ZhaoXiaoyan ShiJiang Zhang
    • G06T13/00
    • G06T13/00
    • A method and a processing device may be provided for copying animation effects of a source object to one or more target objects of a presentation. The source object and the target objects may be included in presentation templates, or presentation slides of presentation files. The one or more target objects may be included in a same presentation slide as the source object, a different presentation slide as the source object, a same presentation file as the source object, a different presentation file as a source object, a same presentation template as a source object, or a different presentation template as the source object. Animation effects that are supported by a target object may be copied from the source object to the target object. When copying one or more animation effects from the source object to multiple target objects, timing of the animation effects may be serial or concurrent.
    • 可以提供一种方法和处理装置,用于将源对象的动画效果复制到呈现的一个或多个目标对象。 源对象和目标对象可以被包括在呈现文件的演示模板或演示文稿幻灯片中。 一个或多个目标对象可以被包括在与源对象相同的呈现幻灯片中,作为源对象的不同呈现幻灯片,与源对象相同的呈现文件,作为源对象的不同呈现文件,相同的呈现模板 作为源对象,或不同的呈现模板作为源对象。 可以将目标对象支持的动画效果从源对象复制到目标对象。 当将一个或多个动画效果从源对象复制到多个目标对象时,动画效果的时序可能是串行或并发的。