会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 4. 发明授权
    • Hierarchical motion estimation process and system using block-matching
and integral projection
    • 分层运动估计过程和使用块匹配和积分投影的系统
    • US6130912A
    • 2000-10-10
    • US93307
    • 1998-06-09
    • Ching-Fang ChangNaofumi Yanagihara
    • Ching-Fang ChangNaofumi Yanagihara
    • G06T7/20H04N5/14H04N7/26H04N7/32H04N7/12
    • G06T7/2013H04N19/53H04N19/533H04N19/56H04N19/57H04N19/61H04N5/145
    • Methods and systems of the present invention obtain a motion vector between two frames of video image data. Specifically, methods and systems of the present invention may be used to estimate a motion vector for each macroblock of a current frame with respect to a reference frame in a multi-stage operation. In a first stage, an application implementing the process of the present invention coarsely searches a first search area of the reference frame to obtain a candidate supermacroblock that best approximates a supermacroblock in the current frame. In a second stage, the supermacroblock is divided into a plurality of macroblocks. Each of the macroblocks is used to construct search areas which are then searched to obtain a candidate macroblock that best appropriates a macroblock in the current frame. Additional stages may be used to further fine-tune the approximation to the macroblock. The methods and systems of the present invention may be used in optimizing digital video encoders, decoders, and video format converters.
    • 本发明的方法和系统在两帧视频图像数据之间获得运动矢量。 具体地说,本发明的方法和系统可用于在多级操作中相对于参考帧估计当前帧的每个宏块的运动矢量。 在第一阶段,实现本发明的过程的应用粗略地搜索参考帧的第一搜索区域以获得最接近当前帧中的超级块的候选超级块。 在第二阶段中,超级宏块被分成多个宏块。 每个宏块用于构造搜索区域,然后搜索区域,以获得最适合当前帧中的宏块的候选宏块。 可以使用附加级来进一步微调宏块的近似。 本发明的方法和系统可用于优化数字视频编码器,解码器和视频格式转换器。
    • 8. 发明授权
    • Motion estimation process and system using sparse search block-matching and integral protection
    • 运动估计过程和系统使用稀疏搜索块匹配和积分保护
    • US06996176B1
    • 2006-02-07
    • US09501182
    • 2000-02-10
    • Ching-Fang ChangNaofumi Yanagihara
    • Ching-Fang ChangNaofumi Yanagihara
    • H04N7/12
    • H04N5/145G06T7/238H04N19/40H04N19/48H04N19/533H04N19/59
    • Methods and systems for obtaining a motion vector between two frames of video image data are disclosed. Specifically, methods and systems of the present invention may be used to perform a block-matching algorithm over a two-dimensional search area in a manner that reduces number of comparisons. In particular, the method determines a best candidate block for each strip based by searching in a first dimension of a two-dimensional search area and based on a predetermined difference criterion. The method then determines a second set of best candidate blocks by performing a limited search in the other direction based on the results from the search in the first dimension. The method then determines a motion vector for the best candidate block. Integral projection arrays may be used to further optimize the search. The methods and systems of the present invention may be used in optimizing digital video encoders, decoders, and format converters.
    • 公开了用于获得两帧视频图像数据之间的运动矢量的方法和系统。 具体地,本发明的方法和系统可以用于以减少比较数量的方式在二维搜索区域上执行块匹配算法。 特别地,该方法基于通过在二维搜索区域的第一维度中搜索并且基于预定的差分标准来确定每个条带的最佳候选块。 该方法然后基于来自第一维度中的搜索的结果,通过在另一方向上执行有限搜索来确定第二组最佳候选块。 该方法然后确定最佳候选块的运动矢量。 整体投影阵列可用于进一步优化搜索。 本发明的方法和系统可用于优化数字视频编码器,解码器和格式转换器。
    • 9. 发明授权
    • Methods and apparatus for motion estimation in compressed domain
    • 压缩域中运动估计的方法和装置
    • US06690728B1
    • 2004-02-10
    • US09497394
    • 2000-02-03
    • Ching-Fang ChangNaofumi Yanagihara
    • Ching-Fang ChangNaofumi Yanagihara
    • H04N712
    • H04N19/105H04N5/145H04N19/137H04N19/40H04N19/51H04N19/547H04N19/56
    • Methods and systems for obtaining a motion vector between two frames of video image data are disclosed. Specifically, methods and systems of the present invention may be used to estimate a motion vector for each macroblock of a current frame with respect to a reference frame in a multi-stage operation. In a transcoder, motion estimation may be performed in the compressed domain eliminating the need to fully decode the compressed data in the first format before reencoding in a second format. In a first stage, an application implementing the process of the present invention obtains a motion vector between first and second pictures of video image data in a video sequence. Each picture includes a plurality of supermacroblocks, each having a plurality of macroblocks. For each supermacroblock of the first picture, a match supermacroblock in the second picture is determined that best matches the supermacroblock of the first picture. For each macroblock in the first picture supermacroblock, a macroblock in the second picture is determined that best matches the macroblock in the first picture supermacroblock. Macroblocks are determined by searching the second picture for a candidate macroblock that best matches the macroblock in the first picture supermacroblock. The search begins at a macroblock in the second picture supermacroblock that corresponds to the first macroblock in the first picture supermacroblock and a motion vector is determined based on the candidate macroblock. For the remaining macroblocks in the first picture supermacroblock, motion vectors are estimated based on the macroblocks in supermacroblocks of the second picture that neighbor the candidate macroblock.
    • 公开了用于获得两帧视频图像数据之间的运动矢量的方法和系统。 具体地说,本发明的方法和系统可用于在多级操作中相对于参考帧估计当前帧的每个宏块的运动矢量。 在代码转换器中,可以在压缩域中执行运动估计,从而消除了在以第二格式重新编码之前以第一格式对压缩数据进行完全解码的需要。 在第一阶段,实现本发明的方法的应用在视频序列中获得视频图像数据的第一和第二图像之间的运动矢量。 每个图像包括多个超级宏块,每个具有多个宏块。 对于第一图像的每个超级宏块,确定第二图片中的匹配超级宏块最符合第一图片的超级宏块。 对于第一图片超级宏块中的每个宏块,确定与第一图片超级宏块中的宏块最佳匹配的第二图片中的宏块。 通过搜索第二图片来确定与第一图片超级宏块中的宏块最匹配的候选宏块来确定宏块。 搜索开始于与第一图片超级块中的第一宏块相对应的第二图片超级宏块中的宏块,并且基于候选宏块确定运动矢量。 对于第一图像超级块中的剩余宏块,基于与候选宏块相邻的第二图像的超宏块中的宏块来估计运动矢量。
    • 10. 发明授权
    • Methods and apparatus for motion estimation using neighboring macroblocks
    • 使用相邻宏块进行运动估计的方法和装置
    • US06671319B1
    • 2003-12-30
    • US09497392
    • 2000-02-03
    • Ching-Fang ChangNaofumi Yanagihara
    • Ching-Fang ChangNaofumi Yanagihara
    • H04N712
    • H04N19/105H04N5/145H04N19/137H04N19/40H04N19/51H04N19/547H04N19/56
    • Methods and systems for obtaining a motion vector between two frames of video image data are disclosed. Specifically, methods and systems of the present invention may be used to estimate a motion vector for each macroblock of a current frame with respect to a reference frame in a multi-stage operation. In a transcoder, motion estimation may be performed in the compressed domain eliminating the need to fully decode the compressed data in the first format before reencoding in a second format. In a first stage, an application implementing the process of the present invention obtains a motion vector between first and second pictures of video image data in a video sequence. Each picture includes a plurality of supermacroblocks, each having a plurality of macroblocks. For each supermacroblock of the first picture, a match supermacroblock in the second picture is determined that best matches the supermacroblock of the first picture. For each macroblock in the first picture supermacroblock, a macroblock in the second picture is determined that best matches the macroblock in the first picture supermacroblock. Macroblocks are determined by searching the second picture for a candidate macroblock that best matches the macroblock in the first picture supermacroblock. The search begins at a macroblock in the second picture supermacroblock that corresponds to the first macroblock in the first picture supermacroblock and a motion vector is determined based on the candidate macroblock. For the remaining macroblocks in the first picture supermacroblock, motion vectors are estimated based on the macroblocks in supermacroblocks of the second picture that neighbor the candidate macroblock.
    • 公开了用于获得两帧视频图像数据之间的运动矢量的方法和系统。 具体地说,本发明的方法和系统可用于在多级操作中相对于参考帧估计当前帧的每个宏块的运动矢量。 在代码转换器中,可以在压缩域中执行运动估计,从而消除了在以第二格式重新编码之前以第一格式对压缩数据进行完全解码的需要。 在第一阶段,实现本发明的方法的应用在视频序列中获得视频图像数据的第一和第二图像之间的运动矢量。 每个图像包括多个超级宏块,每个具有多个宏块。 对于第一图像的每个超级宏块,确定第二图片中的匹配超级宏块最符合第一图片的超级宏块。 对于第一图片超级宏块中的每个宏块,确定与第一图片超级宏块中的宏块最佳匹配的第二图片中的宏块。 通过搜索第二图片来确定与第一图片超级宏块中的宏块最匹配的候选宏块来确定宏块。 搜索开始于与第一图片超级块中的第一宏块相对应的第二图片超级宏块中的宏块,并且基于候选宏块确定运动矢量。 对于第一图像超级块中的剩余宏块,基于与候选宏块相邻的第二图像的超宏块中的宏块来估计运动矢量。