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公开(公告)号：US20060048038A1
公开(公告)日：2006-03-02
申请号：US10928448
申请日：2004-08-27
IPC分类号： H03M13/03
CPC分类号： H03M7/30 , H03M13/00 , H03M13/03 , H03M13/1194 , H03M13/19 , H03M13/6312
摘要： A method compresses a set of correlated signals by first converting each signal to a sequence of integers, which are further organized as a set of bit-planes. This can be done by signal transformation and quantization. An inverse accumulator is applied to each bit-plane to produce a bit-plane of shifted bits, which are permuted according to a predetermined permutation to produce bit-planes of permuted bits. Each bit-plane of permuted bits is partitioned into a set of blocks of bits. Syndrome bits are generated for each block of bits according to a rate-adaptive base code. Subsequently, the syndrome bits can be decompressed in a decoder to recover the original correlated signals. For each bit-plane of the corresponding signal, a bit probability estimate is generated. Then, the bit-plane is reconstructed using the syndrome bits and the bit probability estimate. The sequence of integers corresponding to all of the bit-planes can then be reconstructed from the bit probability estimates, and the original signal can be recovered from the sequences of integers using an inverse quantization and inverse transform.
摘要翻译： 一种方法通过首先将每个信号转换成整数序列来压缩一组相关信号，该整数序列进一步被组织为一组位平面。 这可以通过信号变换和量化来完成。 反向累加器被施加到每个位平面以产生位移位的位平面，它们根据预定的排列被排列以产生置换位的位平面。 置换位的每个位平面被划分成一组位块。 根据速率自适应基本码为每个位块产生综合位。 随后，可以在解码器中解压缩校正子位以恢复原始的相关信号。 对于相应信号的每个位平面，产生位概率估计。 然后，使用校正子位和位概率估计来重构位平面。 然后可以从比特概率估计中重构对应于所有比特平面的整数序列，并且可以使用逆量化和逆变换从整数序列中恢复原始信号。
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公开(公告)号：US20070174633A1
公开(公告)日：2007-07-26
申请号：US11564638
申请日：2006-11-29
申请人： Stark Draper , Ashish Khisti , Emin Martinian , Anthony Vetro , Jonathan Yedidia
发明人： Stark Draper , Ashish Khisti , Emin Martinian , Anthony Vetro , Jonathan Yedidia
CPC分类号： G06K9/00885 , G06K9/00073 , H04L9/3231 , H04L9/3236
摘要： Biometric parameters acquired from human forces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data.
摘要翻译： 从人力，语音，指纹和鸢尾获得的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的，并且从一个读数到下一个读数不同，所以应用校正子码来确定生物统计学综合征矢量。 可以安全地存储生物特征综合征矢量，同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。
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公开(公告)号：US07779268B2
公开(公告)日：2010-08-17
申请号：US11564638
申请日：2006-11-29
CPC分类号： G06K9/00885 , G06K9/00073 , H04L9/3231 , H04L9/3236
摘要： Biometric parameters acquired from human forces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data.
摘要翻译： 从人力，语音，指纹和鸢尾获得的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的，并且从一个读数变化到下一个读数，所以应用校正子码来确定生物特征综合征矢量。 可以安全地存储生物特征综合征矢量，同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。
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公开(公告)号：US20060045184A1
公开(公告)日：2006-03-02
申请号：US10929050
申请日：2004-08-27
申请人： Anthony Vetro , Jonathan Yedidia
发明人： Anthony Vetro , Jonathan Yedidia
CPC分类号： H04N19/59 , H04N19/124 , H04N19/127 , H04N19/154 , H04N19/166 , H04N19/18 , H04N19/44 , H04N19/46 , H04N19/513 , H04N19/523 , H04N19/597 , H04N19/63
摘要： A method represents a correlated set of images. The correlation can be spatial or temporal. A lossy operation is applied to each image in the correlated set to generate a coarse image. The coarse image is encoded losslessly to yield an encoded coarse image. Each image is also represented by syndrome bits. The combination of the encoded coarse images and the syndrome bits represent the correlated set of images.
摘要翻译： 一种方法表示一组相关的图像。 相关性可以是空间或时间。 对相关集合中的每个图像应用有损操作以生成粗略图像。 粗略图像被无损编码以产生编码的粗略图像。 每个图像也由校正子位表示。 编码的粗略图像和校正子位的组合表示相关的图像集合。
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公开(公告)号：US20060123241A1
公开(公告)日：2006-06-08
申请号：US11218261
申请日：2005-09-01
IPC分类号： H04K1/00
CPC分类号： H04L9/0894 , G07C9/00158 , H04L9/0866 , H04L9/3231
摘要： First biometric parameters are acquired from a user. Input data are encrypted according to the biometric parameters to produce ciphertext. The biometric parameters are encoded using a syndrome encoder to produce a syndrome code. The ciphertext and the syndrome code are associated with each other and stored in a computer readable media so that only the same user can subsequently decrypt the cipher text.
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公开(公告)号：US08994722B2
公开(公告)日：2015-03-31
申请号：US13406139
申请日：2012-02-27
申请人： Dong Tian , Yongzhe Wang , Anthony Vetro
发明人： Dong Tian , Yongzhe Wang , Anthony Vetro
IPC分类号： G06T15/20
CPC分类号： G06T15/205
摘要： An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.
摘要翻译： 基于一组纹理图像和从该场景获取的对应的一组深度图像来生成用于场景的虚拟视图的图像。 确定与所选图像的每个像素相关联的一组候选深度。 对于每个候选深度，确定估计虚拟图像的合成质量的成本。 选择具有最低成本的候选深度以产生像素的最佳深度。 然后，基于每个像素的最佳深度和纹理图像合成虚拟图像。 该方法还在视图合成之前和视图合成期间都应用第一和第二深度增强，以校正误差或抑制由于估计或获取密集深度图像和稀疏深度特征而导致的噪声。
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7.发明授权公开(公告)号：US08929455B2
公开(公告)日：2015-01-06
申请号：US13175737
申请日：2011-07-01
申请人： Robert A. Cohen , Anthony Vetro
发明人： Robert A. Cohen , Anthony Vetro
IPC分类号： H04N7/12 , H04N19/102 , H04N19/10 , H04N19/12 , H04N19/159 , H04N19/61 , H04N19/11
CPC分类号： H04N7/52 , H04N19/10 , H04N19/11 , H04N19/12 , H04N19/122 , H04N19/159 , H04N19/60 , H04N19/61
摘要： A method codes pictures in a bitstream, wherein the bitstream includes coded pictures to obtain data for associated TUs and data for generating a transform tree, and a partitioning of coding units (CUs) into Prediction Units (PUs), and data for obtaining prediction modes or directions associated with each PU. One or more mapping tables are defined, wherein each row of each table has an associated index and a first set of transform types to be used for applying an inverse transformation to the data in TU. The first set of transform types is selected according to an index, and then a second set of transform types is applied as the inverse transformation to the data, wherein the second set of transform types is determined according to the first set of transform types and a transform-toggle flag (ttf) to obtain a reconstructed prediction residual.
摘要翻译： 一种方法对比特流中的图像进行编码，其中比特流包括用于获得相关联的TU的数据的编码图像和用于生成变换树的数据，以及将编码单元（CU）划分为预测单元（PU）和用于获得预测模式的数据 或与每个PU相关联的方向。 定义一个或多个映射表，其中每个表的每一行具有相关联的索引和用于将逆变换应用于TU中的数据的第一组变换类型。 根据索引选择第一组变换类型，然后应用第二组变换类型作为数据的逆变换，其中根据第一组变换类型确定第二组变换类型，并且a 变换切换标志（ttf）以获得重建的预测残差。
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公开(公告)号：US08767835B2
公开(公告)日：2014-07-01
申请号：US12979414
申请日：2010-12-28
申请人： Robert A. Cohen , Jewon Kang , Anthony Vetro
发明人： Robert A. Cohen , Jewon Kang , Anthony Vetro
CPC分类号： H04N19/97 , H04N19/102 , H04N19/105 , H04N19/122 , H04N19/147 , H04N19/157 , H04N19/176 , H04N19/46
摘要： A video encoded as a bit stream is decoded by maintaining a set of dictionaries generated from decoded prediction residual signals, wherein elements of the set of dictionaries have associated indices. A current macroblock is entropy decoded and inverse quantized to produce decoded coefficients. For the current macroblock, a particular dictionary of the set of dictionaries is selected according to a prediction mode signaled in the bit stream, and particular elements of the particular dictionary are selected according to a copy mode signal in the bit stream and the associated index. The particular elements is scaled and combined, using the decoded coefficients, to reconstruct a current decoded macroblock prediction residual signal. Then, the current decoded macroblock prediction residual signal is combined with previously decoded macroblocks to generate an output macroblock of a reconstructed video, wherein the steps are performed in a decoder.
摘要翻译： 通过维持从解码的预测残差信号产生的一组字典来解码编码为比特流的视频，其中字典集合中的元素具有相关联的索引。 当前宏块被熵解码并被反量化以产生解码系数。 对于当前的宏块，根据在位流中发信号的预测模式来选择字典集合的特定字典，并且根据位流中的复制模式信号和相关联的索引来选择特定字典的特定元素。 使用解码的系数对特定元素进行缩放和组合，以重构当前解码的宏块预测残差信号。 然后，将当前解码的宏块预测残差信号与先前解码的宏块相组合以产生重构视频的输出宏块，其中在解码器中执行这些步骤。
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公开(公告)号：US08494290B2
公开(公告)日：2013-07-23
申请号：US13169959
申请日：2011-06-27
申请人： Robert A. Cohen , Anthony Vetro , Huifang Sun
发明人： Robert A. Cohen , Anthony Vetro , Huifang Sun
IPC分类号： G06K9/36
CPC分类号： G06T9/40 , H04N19/119 , H04N19/122 , H04N19/176 , H04N19/46 , H04N19/70
摘要： A bitstream includes coded pictures, and split-flags for generating a transform tree. The bit stream is a partitioning of coding units (CUs) into Prediction Units (PUs). The transform tree is generated according to the split-flags. Nodes in the transform tree represent transform units (TU) associated with the CUs. The generation splits each TU only if the corresponding split-flag is set. For each PU that includes multiple TUs, the multiple TUs are merged into a larger TU, and the transform tree is modified according to the splitting and merging. Then, data contained in each PU can be decoded using the TUs associated with the PU according to the transform tree.
摘要翻译： 比特流包括编码图像，以及用于生成变换树的分割标志。 比特流是将编码单元（CU）划分成预测单元（PU）。 转换树根据分裂标志生成。 变换树中的节点表示与CU相关联的变换单元（TU）。 仅当相应的分割标志被设置时，该代码才能分割每个TU。 对于包含多个TU的每个PU，将多个TU合并成一个较大的TU，根据分割和合并修改变换树。 然后，可以使用根据变换树与PU相关联的TU来解码包含在每个PU中的数据。
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公开(公告)号：US08395642B2
公开(公告)日：2013-03-12
申请号：US12405912
申请日：2009-03-17
申请人： Sehoon Yea , Kwan-Jung Oh , Anthony Vetro
发明人： Sehoon Yea , Kwan-Jung Oh , Anthony Vetro
CPC分类号： G06T3/0093 , G06T5/009 , G06T5/30 , G06T5/40 , G06T5/50 , G06T15/205 , G06T2207/10016 , G06T2207/10028 , G06T2207/20028 , G06T2207/20036 , H04N13/261 , H04N19/597
摘要： A method synthesizes virtual images from a sequence of texture images and a sequence of corresponding depth images, wherein each depth images stores depths d at pixel locations I(x, y). Each depth image, is preprocessed to produce a corresponding preprocessed depth image. A first reference image and a second reference image are from the sequence of texture images. Then, depth-based 3D warping, depth-based histogram matching, base plus assistant image blending, and depth-based in-painting are applied in order to synthesize a virtual image.
摘要翻译： 一种方法从纹理图像序列和相应深度图像的序列合成虚拟图像，其中每个深度图像存储像素位置I（x，y）处的深度d。 每个深度图像被预处理以产生相应的预处理深度图像。 第一参考图像和第二参考图像来自纹理图像序列。 然后，应用基于深度的3D翘曲，基于深度的直方图匹配，基础加辅助图像混合和基于深度的绘画，以便合成虚拟图像。
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