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    • 3. 发明申请
    • Epipolar geometry-based motion estimation for multi-view image and video coding
    • 用于多视图图像和视频编码的基于双极几何的运动估计
    • US20080172384A1
    • 2008-07-17
    • US11653587
    • 2007-01-16
    • Hua CaiJian-guang LouJiang Li
    • Hua CaiJian-guang LouJiang Li
    • G06F7/10G06F7/38G06F15/00G06F17/30
    • G06T7/292G06T7/238G06T2207/10016G06T2207/20088
    • Described is fast motion estimation based upon epipolar geometry, which can be used in compressing multi-view video. An epipolar line is computed based on a point (e.g., a centroid point) in a macroblock to be predicted, and a temporary starting point in an image is determined, such as a median predicted search center. A search starting point is further determined based on the temporary starting point and the epipolar line, e.g., a point on the epipolar line corresponding to an intersecting line that is projected orthogonally from the temporary point to the epipolar line. A motion estimation mechanism searches the search space to produce a motion vector. The search may be conducted starting at the search starting point in a reduced search area located around the epipolar line, e.g., a local diamond search and/or rotated unsymmetrical rood-pattern search.
    • 描述了基于对极几何的快速运动估计,可用于压缩多视图视频。 基于要预测的宏块中的点(例如,质心点)计算核线,并且确定图像中的临时起始点,诸如中值预测搜索中心。 基于临时起点和核线,进一步确定搜索起始点,例如对应于从临时点到对极线正交投影的相交线的对极线上的点。 运动估计机制搜索搜索空间以产生运动矢量。 搜索可以在位于核线附近的缩小搜索区域的搜索起点开始进行,例如本地菱形搜索和/或旋转的不对称轮廓图案搜索。
    • 5. 发明授权
    • Multiview coding with geometry-based disparity prediction
    • 基于几何视差预测的多视图编码
    • US08953684B2
    • 2015-02-10
    • US11803972
    • 2007-05-16
    • Hua CaiJian-Guang LouJiang Li
    • Hua CaiJian-Guang LouJiang Li
    • H04N11/04H04N19/61H04N19/597
    • H04N19/61H04N19/597
    • Described herein is technology for, among other things, multiview coding with geometry-based disparity prediction. The geometry-based disparity prediction involves determining corresponding block pairs in a number of reconstructed images for an image being coded. The reconstructed images and the image represent different views of a scene at a point in time. Each corresponding block pair is projected on the image. This enables determination of disparity vector candidates. For each coding block of the image, a predicted disparity vector is determined based on the disparity vector candidates. Then, the predicted disparity vector may be utilized to obtain the bits to be encoded. The geometry-based disparity prediction reduces the number of encoded bits.
    • 这里描述的是用于基于几何视差预测的多视图编码技术。 基于几何的视差预测涉及确定针对被编码的图像的多个重建图像中的相应块对。 重建的图像和图像表示在某个时间点的场景的不同视图。 每个对应的块对投影在图像上。 这使得能够确定视差向量候选。 对于图像的每个编码块,基于视差向量候选来确定预测的视差矢量。 然后,可以使用预测的视差矢量来获得要编码的比特。 基于几何的视差预测减少了编码比特的数量。
    • 6. 发明申请
    • Multiview coding with geometry-based disparity prediction
    • 基于几何视差预测的多视图编码
    • US20080285654A1
    • 2008-11-20
    • US11803972
    • 2007-05-16
    • Hua CaiJian-Guang LouJiang Li
    • Hua CaiJian-Guang LouJiang Li
    • H04B1/66
    • H04N19/61H04N19/597
    • Described herein is technology for, among other things, multiview coding with geometry-based disparity prediction. The geometry-based disparity prediction involves determining corresponding block pairs in a number of reconstructed images for an image being coded. The reconstructed images and the image represent different views of a scene at a point in time. Each corresponding block pair is projected on the image. This enables determination of disparity vector candidates. For each coding block of the image, a predicted disparity vector is determined based on the disparity vector candidates. Then, the predicted disparity vector may be utilized to obtain the bits to be encoded. The geometry-based disparity prediction reduces the number of encoded bits.
    • 这里描述的是用于基于几何视差预测的多视图编码技术。 基于几何的视差预测涉及确定针对被编码的图像的多个重建图像中的相应块对。 重建的图像和图像表示在某个时间点的场景的不同视图。 每个对应的块对投影在图像上。 这使得能够确定视差向量候选。 对于图像的每个编码块,基于视差向量候选来确定预测的视差矢量。 然后,可以使用预测的视差矢量来获得要编码的比特。 基于几何的视差预测减少了编码比特的数量。
    • 8. 发明授权
    • Epipolar geometry-based motion estimation for multi-view image and video coding
    • 用于多视图图像和视频编码的基于双极几何的运动估计
    • US07822280B2
    • 2010-10-26
    • US11653587
    • 2007-01-16
    • Hua CaiJian-guang LouJiang Li
    • Hua CaiJian-guang LouJiang Li
    • G06K9/46G06K9/00H04N11/02
    • G06T7/292G06T7/238G06T2207/10016G06T2207/20088
    • Described is fast motion estimation based upon epipolar geometry, which can be used in compressing multi-view video. An epipolar line is computed based on a point (e.g., a centroid point) in a macroblock to be predicted, and a temporary starting point in an image is determined, such as a median predicted search center. A search starting point is further determined based on the temporary starting point and the epipolar line, e.g., a point on the epipolar line corresponding to an intersecting line that is projected orthogonally from the temporary point to the epipolar line. A motion estimation mechanism searches the search space to produce a motion vector. The search may be conducted starting at the search starting point in a reduced search area located around the epipolar line, e.g., a local diamond search and/or rotated unsymmetrical rood-pattern search.
    • 描述了基于对极几何的快速运动估计,可用于压缩多视图视频。 基于要预测的宏块中的点(例如,质心点)计算核线,并且确定图像中的临时起始点,诸如中值预测搜索中心。 基于临时起点和核线,进一步确定搜索起始点,例如对应于从临时点到对极线正交投影的相交线的对极线上的点。 运动估计机制搜索搜索空间以产生运动矢量。 搜索可以在位于核线附近的缩小搜索区域的搜索起点开始进行,例如本地菱形搜索和/或旋转的不对称轮廓图案搜索。
    • 9. 发明授权
    • Color image coding using inter-color correlation
    • 彩色图像编码采用色间相关
    • US07903894B2
    • 2011-03-08
    • US11543576
    • 2006-10-05
    • Hua CaiJiang Li
    • Hua CaiJiang Li
    • G06K9/46
    • H04N19/182H04N19/13H04N19/136H04N19/186H04N19/593
    • Described is an image compression technology by which a coefficient representative of a chrominance component corresponding to an (x, y) coordinate pair is coded into a symbol, along with plurality of context events associated with that symbol, to facilitate more efficient context-based arithmetic coding. For example, four context events may be generated, including one context event based on the corresponding (x, y) coefficient value in the luminance component, and three context events based on other luminance coefficients that have adjacent horizontal, vertical and diagonal relationships with the corresponding luminance component's coefficient, respectively. In one example implementation, coding the chrominance coefficient and computing the plurality of context events occurs in a zero coding pass of an entropy coder. A sign coding pass and a magnitude refinement pass may be performed to obtain further symbols for the context-based arithmetic coding.
    • 描述了一种图像压缩技术,通过该技术,表示对应于(x,y)坐标对的色度分量的系数与多个与该符号相关联的上下文事件一起编码为符号,以促进更有效的基于上下文的算术 编码。 例如,可以生成四个上下文事件,包括基于亮度分量中的对应(x,y)系数值的一个上下文事件,以及基于与其相关的其他亮度系数的三个上下文事件,这些亮度系数与 分别对应亮度分量系数。 在一个示例实现中,对色度系数进行编码并计算多个上下文事件发生在熵编码器的零编码遍中。 可以执行符号编码遍和幅度细化遍以获得用于基于上下文的算术编码的另外的符号。
    • 10. 发明申请
    • Image Coding with Scalable Context Quantization
    • 图像编码与可扩展上下文量化
    • US20070279265A1
    • 2007-12-06
    • US11771030
    • 2007-06-29
    • Hua CaiJiang Li
    • Hua CaiJiang Li
    • H03M7/00
    • H04N19/126H04N19/146H04N19/593H04N19/647
    • A scalable quantizer is generated from a plurality of context models for each of a plurality of bit rates used in coding a source. A context model for a lower bit rate quantizes conditioning states when there is no compression gain in coding the image using child conditioning states in the higher bit rate context model over a parent conditioning state to which they may be quantized. The scalable quantizer includes a basic context model for a lowest anticipated bit rate and enhancement bits indicating how to adapt the basic context model to derive context models for higher bit rates. For image data transformed with embedded wavelet coding, context events are selected from corresponding or neighboring pixels at different resolutions and in different bit planes, and the order of the context events is optimized to reduce conditional entropy between the context events and the current value.
    • 对于用于编码源的多个比特率中的每一个,从多个上下文模型生成可扩展量化器。 当在较高比特率上下文模型中使用子调理状态在其可被量化的父条件状态下,当在图像编码中没有压缩增益时,较低比特率的上下文模型量化调节状态。 可扩展量化器包括用于最低预期比特率的基本上下文模型和指示如何使基本上下文模型适应以导出更高比特率的上下文模型的增强比特。 对于使用嵌入式小波编码变换的图像数据,从不同分辨率和不同位平面中的相应或相邻像素选择上下文事件,并优化上下文事件的顺序以减少上下文事件与当前值之间的条件熵。