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1. 发明授权

US06223193B1 Macroblock variance estimator for MPEG-2 video encoder 有权
标题翻译：用于MPEG-2视频编码器的宏块方差估计器
公开(公告)号：US06223193B1
公开(公告)日：2001-04-24
申请号：US09190550
申请日：1998-11-12
申请人： Danilo Pau , Fabrizio Rovati , Anna Valsasna , Roberta Bruni
发明人： Danilo Pau , Fabrizio Rovati , Anna Valsasna , Roberta Bruni
IPC分类号： G06F1710
CPC分类号： H04N19/436 , H04N19/14 , H04N19/176 , H04N19/42 , H04N19/61
摘要： A hardware accelerator for a coding system for pictures includes an array of lines and columns of pixels, and calculates the variance of macroblocks of a digitized video image for a real-time coding of the current image together with the preceding and successive images, according to the MPEG-2 video algorithm. The architecture minimizes the silicon area needed for implementing the hardware accelerator for a cost-effective reduction on the CPU of the coding system. The use of a plurality of distinct filter/demultiplexers of known architectures is eliminated by conveying the incoming pixels to the respective input lines of distinct variance calculation paths by the use of a simple counter.
摘要翻译：用于图像编码系统的硬件加速器包括一列阵列和一列像素，并且根据先前和连续的图像计算用于当前图像的实时编码的数字化视频图像的宏块的方差 MPEG-2视频算法。该架构最大限度地减少了实现硬件加速器所需的硅面积，从而降低了编码系统的CPU的成本效益。通过使用简单的计数器将输入像素输送到不同方差计算路径的相应输入线，消除已知结构的多个不同的滤波器/解复用器的使用。

2. 发明授权

US06320907B1 Adaptive tree-search vector quantization in MPEG2 decoder 有权
标题翻译： MPEG2解码器中的自适应树搜索矢量量化
公开(公告)号：US06320907B1
公开(公告)日：2001-11-20
申请号：US09195800
申请日：1998-11-19
申请人： Danilo Pau , Roberta Bruni
发明人： Danilo Pau , Roberta Bruni
IPC分类号： H04B166
CPC分类号： G06T9/008 , H04N19/428 , H04N19/61 , H04N19/94
摘要： The memory requirement of MPEG decoders and SQTV/IQTV systems may be reduced by recompressing the MPEG decoded data stream before storing pixels in an external RAM. An efficient compression method for recompressing video picture data based on the tree-search vector quantization (TSVQ) is made more effective by optimizing the way the quantizer is chosen for quantizing the differences among adjacent pel vectors. This method is based on premultiplying a read-only table using quantized complexity measures relative to the centroids of the tree-like scheme used in the TSVQ processing. A plurality of precalculated tables of quantization of the prediction error of a physical parameter of blocks of digital data are produced. For each one of the regions in which a block is divided, the calculated and quantized complexity measure provides an address that selects the most appropriate precalculated table for quantizing the prediction error. The adaptive tree-search vector quantization method is implemented in a corresponding hardware architecture.
摘要翻译： MPEG解码器和SQTV / IQTV系统的存储器要求可以通过在将像素存储在外部RAM中之前重新压缩MPEG解码数据流来减少。通过优化用于量化相邻像素矢量之间的差异的量化器的方式，基于树搜索矢量量化（TSVQ）对视频图像数据进行再压缩的有效压缩方法更有效。该方法基于使用相对于在TSVQ处理中使用的树状方案的质心的量化复杂度度量的只读表。产生数字数据块的物理参数的预测误差的量化的多个预先计算的表。对于其中划分块的每个区域，计算和量化的复杂度度量提供了选择用于量化预测误差的最合适的预计算表的地址。自适应树搜索向量量化方法在相应的硬件架构中实现。

3. 发明授权

US06108381A Tree search vector quantization for compressing digital video data to be stored in buffers and MPEG decoder and SQTV processor with reduced memory requisites 失效
标题翻译：用于压缩要存储在缓冲器中的数字视频数据的树搜索矢量量化，具有减少的存储器必需品的MPEG解码器和SQTV处理器
公开(公告)号：US06108381A
公开(公告)日：2000-08-22
申请号：US17413
申请日：1998-02-02
申请人： Danilo Pau , Roberta Bruni , Roberto Sannino
发明人： Danilo Pau , Roberta Bruni , Roberto Sannino
IPC分类号： H04N5/92 , G06F17/30 , G06T9/00 , G06T9/40 , H03M7/30 , H04N7/01 , H04N7/26 , H04N7/28 , H04N7/32 , H04N7/50 , H14N7/12
CPC分类号： G06T9/008 , G06T9/40 , H04N19/423 , H04N19/61 , H04N19/94
摘要： A method for reducing the RAM requirement for temporarily storing a stream of data blocks in a coding/decoding system of information transferable by blocks, includes the steps of: compressing and coding the data by blocks through a tree search vector quantization (TSVQ); storing TSVQ compressed and coded data in the RAM; and decoding and decompressing in a subsequent reading of the data stored in the RAM the coded and compressed data, thereby reconstituting the stream of digital data blocks. The method may include fixing a certain scanning path of each data block of the stream to be decomposed into vectors of preestablished dimensions; coding the first vector of the scanning of a certain block of data in an unmodified manner; generating a replica vector of the last coded vector and calculating a prediction error vector; quantizing according to a binary search in a table of read-only quantized vectors the prediction error, by coding its address in the table; and repeating several of the steps for all the vectors of the scanning of each input data block.
摘要翻译：一种减少用于将数据块流临时存储在块可传输信息的编码/解码系统中的RAM要求的方法，包括以下步骤：通过树搜索矢量量化（TSVQ）对数据进行压缩和编码; 将TSVQ压缩和编码数据存储在RAM中; 并且在随后读取存储在RAM中的数据的解码和解压缩编码和压缩数据，从而重构数字数据块流。该方法可以包括将要分解的流的每个数据块的特定扫描路径固定成预先建立的维度的向量; 以未修改的方式对特定数据块的扫描的第一向量进行编码; 生成最后编码矢量的副本矢量并计算预测误差矢量; 根据在只读量化矢量的表中的二进制搜索量化量化该预测误差，通过对其表中的地址进行编码; 并且对于每个输入数据块的扫描的所有向量重复若干步骤。

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