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公开(公告)号：US20180101955A1
公开(公告)日：2018-04-12
申请号：US15291507
申请日：2016-10-12
IPC分类号： G06T7/00
CPC分类号： G06T7/11 , G06T7/73 , G06T2207/10004
摘要： In one example, a system for recognizing an object includes a processor to select from a plurality of image frames an image frame in which a view of the object is not blocked, and to estimate a location of the object in the selected image frame.
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公开(公告)号：US09129409B2
公开(公告)日：2015-09-08
申请号：US12511349
申请日：2009-07-29
IPC分类号： H04N7/12 , G06T3/40 , H04N1/409 , H04N1/41 , H04N19/176 , H04N19/132 , H04N19/14 , H04N19/182 , H04N19/192 , H04N19/59
CPC分类号： G06T3/4007 , H04N1/4092 , H04N1/41 , H04N19/132 , H04N19/14 , H04N19/176 , H04N19/182 , H04N19/192 , H04N19/30 , H04N19/59 , H04N19/593
摘要： A method of interpolating a pixel value is disclosed and may include locating a missing pixel. Further, the method may include determining a plurality of closest pixels, determining a value for each of the plurality of closest pixels, and determining a distance between the missing pixel and each of the plurality of closest pixels. The method may also include classifying each of the plurality of closest pixels as either an edge-pixel or a non-edge pixel and determining a value of the missing pixel at least partially based on the value of each of the plurality of closest pixels, the distance between the missing pixel and each of the plurality of closest pixels, and a classification of each of the plurality of closest pixels.
摘要翻译： 公开了内插像素值的方法，并且可以包括定位丢失像素。 此外，该方法可以包括确定多个最近的像素，确定多个最近像素中的每一个的值，以及确定丢失像素与多个最近像素中的每一个之间的距离。 该方法还可以包括将多个最近像素中的每一个分类为边缘像素或非边缘像素，并且至少部分地基于多个最近像素中的每一个的值来确定丢失像素的值， 缺失像素与多个最近像素中的每一个之间的距离，以及多个最近像素中的每一个的分类。
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公开(公告)号：US20190042867A1
公开(公告)日：2019-02-07
申请号：US16024356
申请日：2018-06-29
申请人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
发明人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
摘要： In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
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公开(公告)号：US20110026582A1
公开(公告)日：2011-02-03
申请号：US12511349
申请日：2009-07-29
IPC分类号： H04N7/26
CPC分类号： G06T3/4007 , H04N1/4092 , H04N1/41 , H04N19/132 , H04N19/14 , H04N19/176 , H04N19/182 , H04N19/192 , H04N19/30 , H04N19/59 , H04N19/593
摘要： A method of interpolating a pixel value is disclosed and may include locating a missing pixel. Further, the method may include determining a plurality of closest pixels, determining a value for each of the plurality of closest pixels, and determining a distance between the missing pixel and each of the plurality of closest pixels. The method may also include classifying each of the plurality of closest pixels as either an edge-pixel or a non-edge pixel and determining a value of the missing pixel at least partially based on the value of each of the plurality of closest pixels, the distance between the missing pixel and each of the plurality of closest pixels, and a classification of each of the plurality of closest pixels.
摘要翻译： 公开了内插像素值的方法，并且可以包括定位丢失像素。 此外，该方法可以包括确定多个最近的像素，确定多个最近像素中的每一个的值，以及确定丢失像素与多个最近像素中的每一个之间的距离。 该方法还可以包括将多个最近像素中的每一个分类为边缘像素或非边缘像素，并且至少部分地基于多个最近像素中的每一个的值来确定丢失像素的值， 缺失像素与多个最近像素中的每一个之间的距离，以及多个最近像素中的每一个的分类。
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公开(公告)号：US20190327486A1
公开(公告)日：2019-10-24
申请号：US16457802
申请日：2019-06-28
申请人： Yiting Liao , Yen-Kuang Chen , Shao-Wen Yang , Vallabhajosyula S. Somayazulu , Srenivas Varadarajan , Omesh Tickoo , Ibrahima J. Ndiour
发明人： Yiting Liao , Yen-Kuang Chen , Shao-Wen Yang , Vallabhajosyula S. Somayazulu , Srenivas Varadarajan , Omesh Tickoo , Ibrahima J. Ndiour
IPC分类号： H04N19/52 , H04N19/523 , H04N19/172 , G06K9/32 , G06K9/62 , G06N3/04
摘要： In one embodiment, an apparatus comprises processing circuitry to: receive, via a communication interface, a compressed video stream captured by a camera, wherein the compressed video stream comprises: a first compressed frame; and a second compressed frame, wherein the second compressed frame is compressed based at least in part on the first compressed frame, and wherein the second compressed frame comprises a plurality of motion vectors; decompress the first compressed frame into a first decompressed frame; perform pixel-domain object detection to detect an object at a first position in the first decompressed frame; and perform compressed-domain object detection to detect the object at a second position in the second compressed frame, wherein the object is detected at the second position in the second compressed frame based on: the first position of the object in the first decompressed frame; and the plurality of motion vectors from the second compressed frame.
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公开(公告)号：US20190045207A1
公开(公告)日：2019-02-07
申请号：US16024364
申请日：2018-06-29
申请人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
发明人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
摘要： In one embodiment, an apparatus comprises a storage device and a processor. The storage device may store a plurality of compressed images comprising one or more compressed master images and one or more compressed slave images. The processor may: identify an uncompressed image; access context information associated with the uncompressed image and the one or more compressed master images; determine, based on the context information, whether the uncompressed image is associated with a corresponding master image; upon a determination that the uncompressed image is associated with the corresponding master image, compress the uncompressed image into a corresponding compressed image with reference to the corresponding master image; upon a determination that the uncompressed image is not associated with the corresponding master image, compress the uncompressed image into the corresponding compressed image without reference to the one or more compressed master images; and store the corresponding compressed image on the storage device.
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公开(公告)号：US20190042870A1
公开(公告)日：2019-02-07
申请号：US16024397
申请日：2018-06-29
申请人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
发明人： Yen-Kuang Chen , Shao-Wen Yang , Ibrahima J. Ndiour , Yiting Liao , Vallabhajosyula S. Somayazulu , Omesh Tickoo , Srenivas Varadarajan
摘要： In one embodiment, an apparatus comprises a memory and a processor. The memory is to store visual data associated with a visual representation captured by one or more sensors. The processor is to: obtain the visual data associated with the visual representation captured by the one or more sensors, wherein the visual data comprises uncompressed visual data or compressed visual data; process the visual data using a convolutional neural network (CNN), wherein the CNN comprises a plurality of layers, wherein the plurality of layers comprises a plurality of filters, and wherein the plurality of filters comprises one or more pixel-domain filters to perform processing associated with uncompressed data and one or more compressed-domain filters to perform processing associated with compressed data; and classify the visual data based on an output of the CNN.
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公开(公告)号：US08160144B1
公开(公告)日：2012-04-17
申请号：US11738244
申请日：2007-04-20
IPC分类号： H04N11/02
CPC分类号： H04N19/533 , H04N19/105 , H04N19/137 , H04N19/159 , H04N19/52 , H04N19/53
摘要： Motion estimation in video encoding switches among motion estimation methods for successive predicted pictures depending upon statistics of prior pictures. Locally averaged motion vectors, fraction of intra-coded macroblocks, average quantization parameter, and so forth provide tests for applicability of particular motion estimation methods, such as ones which perform better for large motion or perform better for small motion with complex texture.
摘要翻译： 视频编码中的运动估计切换依赖于先前图像的统计的连续预测图像的运动估计方法。 本地平均运动矢量，帧内编码宏块的分数，平均量化参数等为特定的运动估计方法提供了适用性测试，例如对于大运动而言更好的运动估计方法或对具有复杂纹理的小运动表现更好的运动估计方法。
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