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    Method for modeling and estimating rendering errors in virtual images
    51.
    发明授权
    Method for modeling and estimating rendering errors in virtual images 有权
    在虚拟图像中建模和估计渲染错误的方法

    公开(公告)号：US08692840B2

    公开(公告)日：2014-04-08

    申请号：US13366348

    申请日：2012-02-05

    申请人： Ngai-Man Cheung ,  Dong Tian ,  Anthony Vetro ,  Huifang Sun

    发明人： Ngai-Man Cheung ,  Dong Tian ,  Anthony Vetro ,  Huifang Sun

    IPC分类号： G06T15/00 ,  G09G5/00 ,  G06K9/40 ,  G06K9/00 ,  G06K9/36 ,  G06F3/048

    CPC分类号： G06T15/04 ,  G06T7/0002 ,  G06T15/20 ,  G06T2207/10012 ,  G06T2207/30168

    摘要： A quality of a virtual image for a synthetic viewpoint in a 3D scene is determined. The 3D scene is acquired by texture images, and each texture image is associated with a depth image acquired by a camera arranged at a real viewpoint. A texture noise power is based on the acquired texture images and reconstructed texture images corresponding to a virtual texture image. A depth noise power is based on the depth images and reconstructed depth images corresponding to a virtual depth image. The quality of the virtual image is based on a combination of the texture noise power and the depth noise power, and the virtual image is rendered from the reconstructed texture images and the reconstructed depth images.

    摘要翻译： 确定3D场景中的合成视点的虚拟图像的质量。 3D场景由纹理图像获取，并且每个纹理图像与由布置在实际视点上的相机获取的深度图像相关联。 纹理噪声功率基于所获取的纹理图像和对应于虚拟纹理图像的重建纹理图像。 深度噪声功率基于对应于虚拟深度图像的深度图像和重建的深度图像。 虚拟图像的质量基于纹理噪声功率和深度噪声功率的组合，并且从重建的纹理图像和重建的深度图像中渲染虚拟图像。

    Method for Modeling and Estimating Rendering Errors in Virtual Images
    52.
    发明申请
    Method for Modeling and Estimating Rendering Errors in Virtual Images 有权
    虚拟图像中渲染错误的建模和估计方法

    公开(公告)号：US20130201177A1

    公开(公告)日：2013-08-08

    申请号：US13366348

    申请日：2012-02-05

    申请人： Ngai-Man Cheung ,  Dong Tian ,  Anthony Vetro ,  Huifang Sun

    发明人： Ngai-Man Cheung ,  Dong Tian ,  Anthony Vetro ,  Huifang Sun

    IPC分类号： G06T15/00

    CPC分类号： G06T15/04 ,  G06T7/0002 ,  G06T15/20 ,  G06T2207/10012 ,  G06T2207/30168

    摘要： A quality of a virtual image for a synthetic viewpoint in a 3D scene is determined. The 3D scene is acquired by texture images, and each texture image is associated with a depth image acquired by a camera arranged at a real viewpoint. A texture noise power is based on the acquired texture images and reconstructed texture images corresponding to a virtual texture image. A depth noise power is based on the depth images and reconstructed depth images corresponding to a virtual depth image. The quality of the virtual image is based on a combination of the texture noise power and the depth noise power, and the virtual image is rendered from the reconstructed texture images and the reconstructed depth images.

    摘要翻译： 确定3D场景中的合成视点的虚拟图像的质量。 3D场景由纹理图像获取，并且每个纹理图像与由布置在实际视点上的相机获取的深度图像相关联。 纹理噪声功率基于所获取的纹理图像和对应于虚拟纹理图像的重建纹理图像。 深度噪声功率基于对应于虚拟深度图像的深度图像和重建的深度图像。 虚拟图像的质量基于纹理噪声功率和深度噪声功率的组合，并且从重建的纹理图像和重建的深度图像中渲染虚拟图像。

    Directional Transforms for Video and Image Coding
    53.
    发明申请
    Directional Transforms for Video and Image Coding 审中-公开
    视频和图像编码的定向变换

    公开(公告)号：US20110090952A1

    公开(公告)日：2011-04-21

    申请号：US12603100

    申请日：2009-10-21

    申请人： Robert A. Cohen ,  Anthony Vetro ,  Huifang Sun

    发明人： Robert A. Cohen ,  Anthony Vetro ,  Huifang Sun

    IPC分类号： H04N7/50

    CPC分类号： H04N19/60 ,  H04N19/12 ,  H04N19/122 ,  H04N19/147 ,  H04N19/176 ,  H04N19/196 ,  H04N19/463 ,  H04N19/593 ,  H04N19/91

    摘要： A bitstream includes a sequence of frames. Each frame is partitioned into encoded blocks. For each block, a set of paths is determined at a transform angle determined from a transform index in the bitstream. Transform coefficients are obtained from bitstream. The transform coefficients include one DC coefficient for each path. An inverse transform is applied to the transform coefficients to produce a decoded video.

    摘要翻译： 比特流包括一系列帧。 每帧被划分成编码块。 对于每个块，以从比特流中的变换索引确定的变换角确定一组路径。 从比特流获得变换系数。 变换系数包括每个路径的一个DC系数。 将逆变换应用于变换系数以产生解码视频。

    Resource-constrained encoding of multiple videos
    54.
    发明授权
    Resource-constrained encoding of multiple videos 失效
    资源受限的多个视频编码

    公开(公告)号：US07324592B2

    公开(公告)日：2008-01-29

    申请号：US10639951

    申请日：2003-08-13

    申请人： Anthony Vetro ,  Huifang Sun

    发明人： Anthony Vetro ,  Huifang Sun

    IPC分类号： H04B1/66 ,  H04N7/12 ,  H04N11/02

    CPC分类号： H04N21/21815 ,  H04N19/115 ,  H04N19/156 ,  H04N21/21805 ,  H04N21/231 ,  H04N21/234381

    摘要： A method acquires a plurality of input videos. The frames of each input video are acquired at a fixed sampling rate. Joint analysis is applied concurrently and in parallel to the input videos to determine a variable and non-uniform temporal sampling rate for each input video so that a combined distortion is minimized and a combined frame rate constraint is satisfied. Each input video is then sampled at the associated variable and non-uniform temporal sampling rate to produce output videos having variable temporal resolutions.

    摘要翻译： 方法获取多个输入视频。 以固定的采样率获取每个输入视频的帧。 联合分析同时并行地应用于输入视频，以确定每个输入视频的可变和非均匀时间采样率，使得组合失真被最小化并且组合的帧速率约束被满足。 然后以相关联的变量和非均匀时间采样率对每个输入视频进行采样，以产生具有可变时间分辨率的输出视频。

    Video transcoder with spatial resolution reduction and drift compensation
    55.
    发明授权
    Video transcoder with spatial resolution reduction and drift compensation 有权
    具有空间分辨率降低和漂移补偿的视频转码器

    公开(公告)号：US07170932B2

    公开(公告)日：2007-01-30

    申请号：US10046366

    申请日：2002-01-14

    申请人： Anthony Vetro ,  Huifang Sun ,  Peng Yin ,  Bede Liu

    发明人： Anthony Vetro ,  Huifang Sun ,  Peng Yin ,  Bede Liu

    IPC分类号： H04B1/66

    CPC分类号： G06T3/4084 ,  H04N19/40 ,  H04N19/48 ,  H04N19/90

    摘要： A method and system reduces the spatial resolution of a compressed bitstream of a sequence of frames of a video signal by first decoding the frames, and storing the decoded frames in a first frame buffer. While performing the decoding, motion compensating is performed with full resolution motion vectors of the stored decoded frames. The decoded frames are then down-sampled to a reduced resolution, and stored in a second frame buffer. The reduced resolution frames are partially encoded to produce a reduced resolution compressed bitstream of the video. While performing the partial encoding, motion compensation is performed with reduced resolution motion vectors of the stored reduced resolution frames.

    摘要翻译： 一种方法和系统通过首先对帧进行解码并将解码的帧存储在第一帧缓冲器中来降低视频信号的帧序列的压缩比特流的空间分辨率。 在执行解码时，利用所存储的解码帧的全分辨率运动矢量来执行运动补偿。 然后将经解码的帧进行下采样以降低分辨率，并存储在第二帧缓冲器中。 缩小分辨率帧被部分编码以产生视频的降低分辨率的压缩比特流。 在执行部分编码的同时，利用所存储的分辨率降低的帧的分辨率降低的运动矢量执行运动补偿。

    Extraction of high-level features from low-level features of multimedia content
    58.
    发明授权
    Extraction of high-level features from low-level features of multimedia content 有权
    从多媒体内容的低级功能中提取高级功能

    公开(公告)号：US06763069B1

    公开(公告)日：2004-07-13

    申请号：US09610763

    申请日：2000-07-06

    申请人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun ,  Peng Xu ,  Shih-Fu Chang

    发明人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun ,  Peng Xu ,  Shih-Fu Chang

    IPC分类号： H04N712

    CPC分类号： G06K9/00711

    摘要： A method extracts high-level features from a video including a sequence of frames. Low-level features are extracted from each frame of the video. Each frame of the video is labeled according to the extracted low-level features to generate sequences of labels. Each sequence of labels is associated with one of the extracted low-level feature. The sequences of labels are analyzed using learning machine learning techniques to extract high-level features of the video.

    摘要翻译： 一种方法从包括帧序列的视频中提取高级特征。 从视频的每个帧中提取低级功能。 视频的每个帧根据提取的低级特征进行标记，以生成标签序列。 标签的每个序列与提取的低级特征之一相关联。 使用学习机器学习技术来分析标签序列以提取视频的高级特征。

    Estimating rate-distortion characteristics of binary shape data
    60.
    发明授权
    Estimating rate-distortion characteristics of binary shape data 失效
    估计二进制形状数据的速率 - 失真特性

    公开(公告)号：US06542545B1

    公开(公告)日：2003-04-01

    申请号：US09410552

    申请日：1999-10-01

    申请人： Anthony Vetro ,  Huifang Sun ,  Yao Wang ,  Onur G. Guleyruz

    发明人： Anthony Vetro ,  Huifang Sun ,  Yao Wang ,  Onur G. Guleyruz

    IPC分类号： H04N1102

    CPC分类号： G06T9/20 ,  H04N19/147 ,  H04N19/21 ,  H04N19/29 ,  H04N19/33 ,  H04N19/40

    摘要： A method estimates rate and distortion characteristics of a video object. First and second object shape features are respectively extracted at a first and second resolution of the video object. First and second rate distortion characteristics of the video object are respectively determined from the extracted first and second object shape features according to first and second modeling parameters. The extracted object shape features can be discrete, such as states of binary shape patterns of the video object, or the object shape features can be continuous such as a set of statistical moments representing a probability density function of the video object.

    摘要翻译： 方法估计视频对象的速率和失真特性。 分别以视频对象的第一和第二分辨率提取第一和第二对象形状特征。 根据第一和第二建模参数，从所提取的第一和第二对象形状特征分别确定视频对象的第一和第二速率失真特性。 所提取的对象形状特征可以是离散的，诸如视频对象的二进制形状图案的状态，或者对象形状特征可以是连续的，例如表示视频对象的概率密度函数的一组统计矩。