公开(公告)号：US20240121358A1

公开(公告)日：2024-04-11

申请号：US18264633

申请日：2021-03-11

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Lan Wang ,  Qian Lin

IPC: H04N7/15 ,  G06T7/20 ,  G06V40/20

CPC classification number: H04N7/157 ,  G06T7/20 ,  G06V40/20

Abstract: In some examples, an electronic device includes a machine learning circuit to detect a user break from an online meeting based on a video stream. In some examples, the machine learning circuit is to send an indicator in response to detecting the user break. In some examples, the electronic device includes a processor coupled to the machine learning circuit. In some examples, the processor is to replace a portion of the video stream with substitute video in response to the indicator.

公开(公告)号：US11941499B2

公开(公告)日：2024-03-26

申请号：US17762102

申请日：2019-10-16

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Qian Lin ,  Augusto Cavalcante Valente ,  Deangeli Gomes Neves ,  Guilherme Augusto Silva Megeto

IPC: G06N20/00 ,  G06T7/20 ,  G06T7/73 ,  G06T11/00 ,  G06V20/64

CPC classification number: G06N20/00 ,  G06T7/20 ,  G06T7/75 ,  G06T11/00 ,  G06V20/647 ,  G06V20/653 ,  G06T2200/04 ,  G06T2207/20081

Abstract: Examples of methods for training using rendered images are described herein. In some examples, a method may include, for a set of iterations, randomly positioning a three-dimensional (3D) object model in a virtual space with random textures. In some examples, the method may include, for the set of iterations, rendering a two-dimensional (2D) image of the 3D object model in the virtual space and a corresponding annotation image. In some examples, the method may include training a machine learning model using the rendered 2D images and corresponding annotation images.

公开(公告)号：US20220139107A1

公开(公告)日：2022-05-05

申请号：US17434527

申请日：2019-06-28

Applicant: Hewlett-Packard Development Company, L.P. ,  Purdue Research Foundation

Inventor： Yang Cheng ,  Xiaoyu Xiang ,  Shaoyuan Xu ,  Qian Lin ,  Jan Philip Allebach

IPC: G06V40/16 ,  G06T7/73

Abstract: An example system includes: a landmark detection engine to detect landmark positions of landmarks in images based on facial detection; an optical flow landmark engine to determine the landmark positions in the images based on optical flow of the landmarks between the images; a landmark difference engine to determine, for a landmark in a given image: a distance between a detected landmark position and an optical flow landmark position of the landmark; and a weighted landmark determination engine to determine, for a first and second image, a position for the landmark in the second image based on: a respective detected landmark position and a respective optical flow position of the landmark in the second image; and respective distances, determined with the landmark difference engine, between a first detected landmark position of the landmark in the first image and respective optical flow landmark positions for the first and second images.

公开(公告)号：US20220060591A1

公开(公告)日：2022-02-24

申请号：US17417920

申请日：2019-01-10

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： Qian Lin ,  M. Anthony Lewis

IPC: H04N1/00 ,  G06T7/00 ,  G06N3/08

Abstract: An example of an apparatus is provided. The apparatus includes an input device to receive camera data. The camera data is associated with a printing device. The apparatus further includes an analysis engine to analyze the camera data with a convolutional neural network model to identify an issue. The apparatus also includes a resolution engine to determine a solution for the issue.

公开(公告)号：US20220028053A1

公开(公告)日：2022-01-27

申请号：US17312204

申请日：2019-03-19

Applicant: Hewlett-Packard Development Company, L.P.

Inventor： William J. Allen ,  Qian Lin ,  Nathan Moroney

IPC: G06T7/00 ,  G06K9/32 ,  G06T1/00

Abstract: In one example in accordance with the present disclosure, an electronic system is described. The electronic system includes a scanning device to capture an image of an object. The object includes encoded data formed therein. An attribute determiner of the electronic system determines an actual value of a surface attribute of the object. The electronic system includes an extraction device to extract from the image of the object, a target value for the surface attribute from the encoded data. A comparator of the electronic system determines if a difference between the actual value and the target value has a specified value.

公开(公告)号：US09665941B2

公开(公告)日：2017-05-30

申请号：US14439293

申请日：2012-10-30

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Feng Tang ,  Qian Lin ,  Daniel R Tretter

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/187 ,  G06T7/194

CPC classification number: G06T7/248 ,  G06T7/11 ,  G06T7/187 ,  G06T7/194 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20104 ,  G06T2207/30196

Abstract: According to an example, a method for object segmentation may include receiving a digital image, performing initial segmentation on the digital image to generate a segmented digital image, and receiving refinement instructions to refine the initial segmentation. The method may further include inferring an intention of a user to correct a foreground area or a background area of the initial segmentation based on the received refinement instructions, learning a behavior of the user to further infer the intention of the user to correct the foreground area or the background area, and refining, by a processor, the initial segmentation based on the inferred intention.

公开(公告)号：US09086825B2

公开(公告)日：2015-07-21

申请号：US13747827

申请日：2013-01-23

Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Inventor： Georgia Koutrika ,  Qian Lin ,  Jerry J. Liu

IPC: G06K15/00 ,  G06Q30/02 ,  G06F3/12

CPC classification number: G06F3/1203 ,  G06F3/1242 ,  G06F3/1244 ,  G06F3/1285 ,  G06Q30/0207 ,  G06Q30/0251 ,  G06Q30/0282

Abstract: A system can include a print type classifier to receive a print message that indicates that a file has been selected to be printed. The print type classifier can also determine a print type of the file. The system can also include a print content analyzer to assign a category to the file characterizing a topic of the file based on the content of the file. The print type analyzer can also generate a content representation of the file that characterizes a summary of content of the file. The system can further include a recommendation engine to provide supplemental content based on at least one of the print type, the category and the content representation of the file, wherein the supplemental content is in a printable format.

Abstract translation: 系统可以包括打印类型分类器以接收指示已经选择要打印的文件的打印消息。 打印类型分类器也可以确定文件的打印类型。 该系统还可以包括打印内容分析器，用于基于文件的内容将类别分配给表征文件的主题的文件。 打印类型分析器还可以生成描述文件内容摘要的文件的内容表示。 该系统还可以包括推荐引擎，用于基于文件的打印类型，类别和内容表示中的至少一个提供补充内容，其中补充内容是可打印格式。