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61. 发明申请

WO2019192746A1 IMAGE RENDERING FROM TEXTURE-LESS CAD MODELS 审中-公开
公开(公告)号：WO2019192746A1
公开(公告)日：2019-10-10
申请号：PCT/EP2018/082794
申请日：2018-11-28
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： PLANCHE, Benjamin , ZAKHAROV, Sergey , HUTTER, Andreas , ILIC, Slobodan , WU, Ziyan
IPC分类号： G06T15/04 , G06T15/50 , G06T19/00
摘要： The invention relates to a method for rendering an augmented image (213) of an object from a texture-less CAD model (211) of the object, the method comprising the steps of: - generating a normal map (212) of the object from the CAD model (211) for a specific viewpoint, and - augmenting the normal map (212) by applying one or more actions defined in an augmentation pipeline (A) to the normal map (212). Furthermore, the invention relates to a renderer for render- ing an augmented image (213) of an object from a texture-less CAD model (211), a computer program product and a computer-readable storage medium.

62. 发明申请

WO2019192744A1 OBJECT RECOGNITION FROM IMAGES USING CAD MODELS AS PRIOR 审中-公开
公开(公告)号：WO2019192744A1
公开(公告)日：2019-10-10
申请号：PCT/EP2018/079599
申请日：2018-10-29
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： PLANCHE, Benjamin , ZAKHAROV, Sergey , HUTTER, Andreas , ILIC, Slobodan , WU, Ziyan
IPC分类号： G06K9/62
摘要： The invention relates to a method how to recover an object from a cluttered image. The invention also relates to a computer program product and a computer-readable storage medium comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of the mentioned method. Further, the invention relates to methods how to train components of a recognition system for recovering an object from such a cluttered image. In addition, the invention relates to such a recognition system.

63. 发明申请

WO2018224447A1 METHOD AND APPARATUS FOR ANALYSING IMAGE DATA 审中-公开
公开(公告)号：WO2018224447A1
公开(公告)日：2018-12-13
申请号：PCT/EP2018/064644
申请日：2018-06-04
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： GHOSH, Sanjukta , AMON, Peter , HUTTER, Andreas
IPC分类号： G06K9/72 , G06K9/34
摘要： The invention relates to a method (1) and an apparatus for 5 analysing image data (2, 44). Therein, one or more provided pre—trained neural nets are adapted for at least one specific image analysis task. The image data (2, 44) is processed by means of a respective forward pass through the one or more adapted neural nets (3, 4, 5) that have learned multiple 10 logically related concepts. This results in the generation of multiple processing results (47, 53) corresponding to the concept. At least two of the multiple processing results (47, 53) corresponding to different ones of the multiple logically related concepts are then selected. The at least two selected 15 processing results (47, 53) are then combined in dependence of the logical relation between the concepts to which the se- lected processing results (47, 53) correspond. This generates an overall image analysis result (14).

64. 发明申请

WO2018065158A1 COMPUTER DEVICE FOR TRAINING A DEEP NEURAL NETWORK 审中-公开
标题翻译：用于训练深度神经网络的计算机设备
公开(公告)号：WO2018065158A1
公开(公告)日：2018-04-12
申请号：PCT/EP2017/072210
申请日：2017-09-05
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： GHOSH, Sanjukta , AMON, Peter , HUTTER, Andreas
IPC分类号： G06N3/08 , G06N3/04 , G06K9/00
摘要： A computer device for training a deep neural network is suggested. The computer device comprises a receiving unit for receiving a two-dimensional input image frame, a deep neural network for examining the two-dimensional input image frame in view of objects being included in the two-dimensional in- put image frame, wherein the deep neural network comprises a plurality of hidden layers and an output layer representing a decision layer, a training unit for training the deep neural network using transfer learning based on synthetic images for generating a model comprising trained parameters, and an out- put unit for outputting a result of the deep neural network based on the model. The suggested computer device is capable of providing meaningful results also if there is lack of sufficient annotated training data, for example, in the scenario where the camera or system is under development is inaccessible.
摘要翻译：提出了用于训练深度神经网络的计算机设备。该计算机装置包括：接收单元，用于接收二维输入图像帧;深度神经网络，用于考虑包括在二维输入图像帧中的对象来检查二维输入图像帧，其中深度神经网络包括多个隐藏层和表示决策层的输出层，训练单元，用于使用基于合成图像的转移学习来训练深度神经网络，以生成包括训练参数的模型，以及输出单元，基于该模型的深度神经网络的结果。如果缺乏足够的带注释的训练数据，例如，在照相机或系统正在开发中的场景无法访问的情况下，建议的计算机设备也能够提供有意义的结果。

65. 发明申请

WO2016180844A1 SYSTEM UND VERFAHREN ZUM ÜBERTRAGEN VON VIDEODATEN VON EINEM SERVER ZU EINEM CLIENT 审中-公开
标题翻译：系统和方法有关将视频数据从服务器到客户端
公开(公告)号：WO2016180844A1
公开(公告)日：2016-11-17
申请号：PCT/EP2016/060483
申请日：2016-05-11
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： OERTEL, Norbert , HUTTER, Andreas
IPC分类号： H04N21/2343 , H04N21/6587
CPC分类号： H04N21/2343 , H04N21/2187 , H04N21/23439 , H04N21/654 , H04N21/6587
摘要： Es wird ein System zum Übertragen von Videodaten von einem Server zu einem Client vorgeschlagen. Das System weist eine erste Codierungseinheit, die dazu eingerichtet ist, Videodaten von dem Server mit einer ersten Qualität an den Client als Livestream zu übertragen, und eine zweite Codierungseinheit auf, die dazu eingerichtet ist, die Videodaten in einer zweiten Qualität in einer Speichereinheit (13) zu speichern und, in Antwort auf ein Anforderungssignal von dem Client (2), die codierten Videodaten in der zweiten Qualität von der Speichereinheit (13) an den Client (2) zu übertragen, wobei die zweite Qualität höher als die erste Qualität ist. Durch das vorgeschlagene System ist es möglich, Videodaten aus einem medizinischen Umfeld, z.B. einem Operationssaal, über ein Netzwerk an einen externen Experten zu übertragen. Hierbei liegen die Videodaten als Livestream in niedriger Qualität vor und können zusätzlich in hoher Qualität auf Abfrage durch den Experten bereitgestellt werden. Des Weiteren wird ein Verfahren zum Übertragen von Videodaten von einem Server zu einem Client vorgeschlagen.
摘要翻译：它提出了一个客户端系统从服务器传输视频数据。该系统包括第一编码单元，其被布置成从具有第一质量到客户端的实时流中的服务器传送视频数据，并且其被设置为处理在第二质量的视频数据（在存储单元13中的第二编码单元存储），并响应于从客户端（2），在所述第二质量编码的视频数据（从存储器单元发送13）给客户端（2），其中所述第二质量大于第一质量更高的请求信号。所提出的系统，它是由医疗环境中可能的视频数据，例如手术室，以通过网络传输到外部专家。这里，视频数据在低质量的现场直播前，也可以在高品质的由专家提供关于审讯。本发明还提出一种用于从服务器向客户端传送视频数据的方法。

66. 发明申请

WO2013107555A1 METHODS AND DEVICES FOR PIXEL-PREDICTION FOR COMPRESSION OF VISUAL DATA 审中-公开
标题翻译：用于像素预测用于压缩视觉数据的方法和装置
公开(公告)号：WO2013107555A1
公开(公告)日：2013-07-25
申请号：PCT/EP2012/074301
申请日：2012-12-04
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： WEINLICH, Andreas , AMON, Peter , HUTTER, Andreas , KAUP, André
IPC分类号： G06T9/00 , H04N7/26 , H04N7/30
CPC分类号： G06T11/003 , G06T9/004 , H04N19/11 , H04N19/14 , H04N19/147 , H04N19/154 , H04N19/182 , H04N19/189 , H04N19/503 , H04N19/60
摘要： The invention relates to pixel-prediction methods and devices that are based on one of a selection of one out of at least two model functions that provide a prediction function and an adaptive model function that is capable to predict intensity characteristics of reference pixels used for prediction.
摘要翻译：本发明涉及基于提供预测功能的至少两个模型函数中的一个的选择之一的像素预测方法和装置，以及能够预测用于预测的参考像素的强度特性的自适应模型函数。

67. 发明公开

EP2946550A1 A METHOD FOR CODING A SEQUENCE OF DIGITAL IMAGES 审中-公开
标题翻译：方法编码数字图像序列
公开(公告)号：EP2946550A1
公开(公告)日：2015-11-25
申请号：EP13745031.8
申请日：2013-07-26
申请人： Siemens Aktiengesellschaft
发明人： WIGE, Eugen , AMON, Peter , HUTTER, Andreas , KAUP, André
IPC分类号： H04N7/24
CPC分类号： H04N19/103 , G06K9/6215 , H04N19/105 , H04N19/11 , H04N19/124 , H04N19/14 , H04N19/167 , H04N19/176 , H04N19/44 , H04N19/46 , H04N19/593 , H04N19/61 , H04N19/65 , H04N19/70
摘要： A method for coding a sequence of digital images The invention refers to a method for coding a sequence of digital images (I), wherein the method uses a number of prediction modes for predicting values of pixels (P1) in the images (I) based on reconstructed values of pixels in image areas processed previously, where a prediction error (PE) between predicted values and the original values of pixels (P1) is processed for generating the coded sequence of digital images (CI). The invention is characterized in that a preset prediction mode is an intra-prediction mode based on pixels of a single image (I) and comprises steps i) and ii) as follows. In step i), for a region (R) of pixels with reconstructed values in the single image (I) and for a template (TE) of an image area, a first patch (PA1) of pixels in the region (R) which surround a first pixel (P1) to be predicted based on the template (TE) is compared with several second patches (PA2), each second patch (PA2) being assigned to a second pixel (P2) from a plurality of second pixels (P2) in the region (R) and consisting of pixels in the region (R) which surround the second pixel (P2) based on the template (TE), thereby determining a similarity measure (SM) for each second pixel (P2) describing the similarity between reconstructed values of the pixels of the second patch (PA2) assigned to the respective second pixel (P2) and the reconstructed values of the pixels of the first patch (PA1). In step ii), a predicted value of the first pixel (P1) is deter- mined based on the values of one or more second pixels (P2) which have the highest similarity described by the similarity measure (SM) among all second pixels (P2) of the plurality of second pixels (P2) in the region (R).

68. 发明公开

EP2617198A1 KOMPRESSION UND DEKOMPRESSION VON REFERENZBILDERN IN EINEM VIDEOKODER 审中-公开
标题翻译： EINEM VIDEOKODER中的压缩和压缩参考电压
公开(公告)号：EP2617198A1
公开(公告)日：2013-07-24
申请号：EP12705230.6
申请日：2012-01-12
申请人： Siemens Aktiengesellschaft
发明人： AGTHE, Bernhard , KUTKA, Robert , AMON, Peter , BÄSE, Gero , HUTTER, Andreas , OERTEL, Norbert
IPC分类号： H04N7/26
CPC分类号： H04N19/423 , H04N19/117 , H04N19/124 , H04N19/147 , H04N19/159 , H04N19/428 , H04N19/46
摘要： The invention relates to methods and devices for transforming image data, which are transformed by a compression filter before being compressed and stored in a reference image memory. In an extension, an inverse transformation to that of the compression filter is performed by a decompression filter when image data from the reference memory are read out and decompressed. The invention can be used for image compression methods and image decompression methods that use reference image memories.
摘要翻译：用于变换图像数据的方法和设备技术领域本发明涉及用于变换图像数据的方法和设备，该图像数据在被压缩并被存储在参考图像存储器中之前被压缩滤波器变换。在扩展中，当来自参考存储器的图像数据被读出并解压缩时，通过解压滤波器执行对压缩滤波器的逆变换。本发明可以用于使用参考图像存储器的图像压缩方法和图像解压缩方法。

69. 发明公开

EP2614647A1 KOMPRESSION UND DEKOMPRESSION VON REFERENZBILDERN IN EINEM VIDEOKODER 有权
标题翻译：在EINEM VIDEOKODER中的KOMPRESSION UND DEKOMPRESSION VON REFERENZBILDERN
公开(公告)号：EP2614647A1
公开(公告)日：2013-07-17
申请号：EP12700392.9
申请日：2012-01-12
申请人： Siemens Aktiengesellschaft
发明人： AMON, Peter , OERTEL, Norbert , BÄSE, Gero , HUTTER, Andreas , AGTHE, Bernhard , KUTKA, Robert
IPC分类号： H04N7/26
CPC分类号： H04N19/423 , H04N19/117 , H04N19/124 , H04N19/147 , H04N19/159 , H04N19/428 , H04N19/46
摘要： The invention relates to methods and devices for providing a reconstructed image within the framework of a predictive coding. According to the invention, the reconstructed image is compressed according to a coding mode of an image coding device and stored in a reference image memory.
摘要翻译：方法和装置将压缩滤波器变换的图像数据转换成压缩并存储在参考图像存储器中。在扩展中，当读出和解压缩来自参考存储器的图像数据时，通过解压缩滤波器执行与压缩滤波器的逆变换。方法和装置可用于使用参考图像存储器的图像压缩方法和图像解压缩方法。

70. 发明授权

EP1344403B1 VERFAHREN ZUR VERBESSERUNG DER FUNKTIONALITÄT DER BINÄREN REPRÄSENTATION VON MPEG-7 UND ANDEREN XML-BASIERTEN INHALTSBESCHREIBUNGEN 有权
标题翻译：方法提高MPEG-7的二进制表示和其他XML基于内容描述的功能性
公开(公告)号：EP1344403B1
公开(公告)日：2010-06-30
申请号：EP01985799.4
申请日：2001-12-20
申请人： SIEMENS AKTIENGESELLSCHAFT
发明人： HEUER, Jörg , HUTTER, Andreas , NIEDERMEIER, Ulrich
IPC分类号： H04N7/24
CPC分类号： H04N21/2353 , H04N19/20 , H04N19/70 , H04N21/235 , H04N21/435 , Y10S707/99936 , Y10S707/99942
摘要： The invention is essentially characterized in that two different schema branch codes are used, whereby one of the two is utilized far more frequently and, as a consequence, effects a compression. The schema branch code and position code are combined, and the bit length for the schema branch code is transmitted therewith. This results in simplifying the search function in such a manner that the first part, alone, specifies the type of the referenced element and that an improvement in the extensibility is achieved based on a schema version number to be transmitted and on firmly prescribed extension strategies that are also familiar to the decoder.

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