公开(公告)号：US20210133911A1

公开(公告)日：2021-05-06

申请号：US16474540

申请日：2017-04-07

Applicant: INTEL CORPORATION

Inventor： Anbang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wehnua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yuqing HOU ,  Zhou SU

IPC: G06T1/20 ,  G06N3/00 ,  G06N3/04 ,  G06N3/08 ,  G06N20/00

Abstract: Described herein are advanced artificial intelligence agents for modeling physical interactions. An apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.

公开(公告)号：US20220028042A1

公开(公告)日：2022-01-27

申请号：US17497555

申请日：2021-10-08

Applicant: INTEL CORPORATION

Inventor： Liu YANG ,  Weike CHEN ,  Lin XU

IPC: G06T5/00 ,  G06T5/20

Abstract: Skin smoothing is applied to images using a bilateral filter and aided by a skin map. In one example a method includes receiving an image having pixels at an original resolution. The image is buffered. The image is downscaled from the original resolution to a lower resolution. A bilateral filter is applied to pixels of the downscaled image. The filtered pixels of the downscaled image are blended with pixels of the image having the original resolution, and the blended image is produced.

公开(公告)号：US20200027015A1

公开(公告)日：2020-01-23

申请号：US16474515

申请日：2017-04-07

Applicant: INTEL CORPORATION

Inventor： Angang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wenhua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yurong CHEN ,  Yuqing HOU ,  Zhou SU

IPC: G06N7/00 ,  G06T1/20 ,  G06F9/48 ,  G06N20/00

Abstract: Described herein are systems and methods for providing deeply stacked automated program synthesis. In one embodiment, an apparatus to perform automated program synthesis includes a memory to store instructions for automated program synthesis and a compute cluster coupled to the memory. The compute cluster supports the instructions for performing the automated program synthesis including partitioning sketched data into partitions, training diverse sets of individual program synthesis units each having different capabilities with partitioned sketched data and for each partition applying respective transformations, and generating sketched baseline data for each individual program synthesis unit.

公开(公告)号：US20220230268A1

公开(公告)日：2022-07-21

申请号：US17517316

申请日：2021-11-02

Applicant: Intel Corporation

Inventor： Anbang YAO ,  Dongqi CAI ,  Libin WANG ,  Lin XU ,  Ping HU ,  Shandong WANG ,  Wenhua CHENG ,  Yiwen GUO ,  Liu YANG ,  Yuqing HOU ,  Zhou SU

IPC: G06T1/20 ,  G06N20/00 ,  G06N3/00 ,  G06N3/04 ,  G06N3/08

Abstract: Described herein are advanced artificial intelligence agents for modeling physical interactions. In one embodiment, an apparatus to provide an active artificial intelligence (AI) agent includes at least one database to store physical interaction data and compute cluster coupled to the at least one database. The compute cluster automatically obtains physical interaction data from a data collection module without manual interaction, stores the physical interaction data in the at least one database, and automatically trains diverse sets of machine learning program units to simulate physical interactions with each individual program unit having a different model based on the applied physical interaction data.

公开(公告)号：US20200234411A1

公开(公告)日：2020-07-23

申请号：US16474848

申请日：2017-04-07

Applicant: INTEL CORPORATION

Inventor： Lin XU ,  Liu YANG ,  Anbang YAO ,  dongqi CAI ,  Libin WANG ,  Ping HU ,  Shaodong WANG ,  Wenhua CHENG ,  Yiwen GUO ,  Yurong CHEN

IPC: G06T5/00 ,  H04N9/64 ,  H04N9/07 ,  G06N3/08 ,  G06N5/04 ,  G06N20/10 ,  G06F9/50

Abstract: Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.

公开(公告)号：US20190057491A1

公开(公告)日：2019-02-21

申请号：US16079308

申请日：2016-03-24

Applicant: INTEL CORPORATION

Inventor： Liu YANG ,  Weike CHEN ,  Lin XU

IPC: G06T5/00 ,  G06T5/20

Abstract: Skin smoothing is applied to images using a bilateral filter and aided by a skin map. In one example a method includes receiving an image having pixels at an original resolution. The image is buffered. The image is downscaled from the original resolution to a lower resolution. A bilateral filter is applied to pixels of the downscaled image. The filtered pixels of the downscaled image are blended with pixels of the image having the original resolution, and the blended image is produced.

公开(公告)号：US20170324968A1

公开(公告)日：2017-11-09

申请号：US15661539

申请日：2017-07-27

Applicant: INTEL CORPORATION

Inventor： Zhichong CHEN ,  Jinfeng ZHOU ,  Jianbin HE ,  Liu YANG ,  Qiang LI

IPC: H04N19/433 ,  H04N19/51

CPC classification number: H04N19/433 ,  H04N19/51

Abstract: The invention provides a video codec. In one embodiment, the video codec is coupled to an outer memory storing a reference frame, and comprises an interface circuit, an in-chip memory, a motion estimation circuit, and a controller. The interface circuit obtains in-chip data from the reference frame stored in the outer memory. The in-chip memory stores the in-chip data. The motion estimation circuit retrieves search window data from the in-chip data with a search window, and performs a motion estimation process on a current macroblock according to the search-window data. The controller shifts the location of the search window when the current macroblock is shifted, marks a macroblock shifted out from the search window as an empty macroblock, and controls the interface circuit to obtain an updated macroblock for replacing the empty macroblock in the in-chip memory from the reference frame stored in the outer memory.

公开(公告)号：US20170302942A1

公开(公告)日：2017-10-19

申请号：US15584572

申请日：2017-05-02

Applicant: INTEL CORPORATION

Inventor： Zhichong CHEN ,  Jinfeng ZHOU ,  Jianbin HE ,  Liu YANG ,  Qiang LI

IPC: H04N19/433 ,  H04N19/51

CPC classification number: H04N19/433 ,  H04N19/51

Abstract: The invention provides a video codec. In one embodiment, the video codec is coupled to an outer memory storing a reference frame, and comprises an interface circuit, an in-chip memory, a motion estimation circuit, and a controller. The interface circuit obtains in-chip data from the reference frame stored in the outer memory. The in-chip memory stores the in-chip data. The motion estimation circuit retrieves search window data from the in-chip data with a search window, and performs a motion estimation process on a current macroblock according to the search-window data. The controller shifts the location of the search window when the current macroblock is shifted, marks a macroblock shifted out from the search window as an empty macroblock, and controls the interface circuit to obtain an updated macroblock for replacing the empty macroblock in the in-chip memory from the reference frame stored in the outer memory.

公开(公告)号：US20200380288A1

公开(公告)日：2020-12-03

申请号：US16607212

申请日：2017-05-22

Applicant: INTEL CORPORATION

Inventor： Liu YANG

IPC: G06K9/46 ,  G06K9/32 ,  G06K9/62 ,  G06T7/73

Abstract: An embodiment of a computer-implemented method generates a filtered set of region proposals for a digital image processing network. The method comprises generating a keypoint count map for a digital image, wherein the keypoint count map indicates how many keypoints have been detected near different pixels in the digital image. The method also comprises generating a keypoint integral image, wherein the keypoint integral image comprises a summed area table that is based on the keypoint count map. The method also comprises generating object existence indicators for an initial region set for the digital image based on the keypoint integral image, and extracting a keypoint-filtered region set from the initial region set based on the object existence indicators. The method may also comprise using the keypoint-filtered region set as region proposal input for an object proposal subsystem. Other embodiments are described and claimed.