中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

83 records (took 0.028 seconds)

    Intra/inter mode decision for predictive frame encoding
    71.
    发明授权
    Intra/inter mode decision for predictive frame encoding 有权

    公开(公告)号：US10798379B2

    公开(公告)日：2020-10-06

    申请号：US16228350

    申请日：2018-12-20

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Soyeb Nagori ,  Manu Mathew ,  Pramod Kumar Swami

    IPC: H04N19/107 ,  H04N19/50 ,  H04N19/176 ,  H04N19/147

    Abstract: This invention predicts that intra mode prediction is more effective for the macroblocks where motion estimation in inter mode prediction fails. This failure is indicated by a large value of the inter mode SAD. This invention performs intra mode prediction for only macro blocks have larger inter mode SADs. The definition of a large inter mode SAD differs for different content. This invention compares the inter mode SAD of a current macroblock with an adaptive threshold. This adaptive threshold depends on the average and variance of the SADs of the previous predicted frame. An adaptive threshold is calculated for each new predictive frame.

    STATIONARY-VEHICLE STRUCTURE FROM MOTION
    72.
    发明申请
    STATIONARY-VEHICLE STRUCTURE FROM MOTION 审中-公开

    公开(公告)号：US20190286919A1

    公开(公告)日：2019-09-19

    申请号：US16434542

    申请日：2019-06-07

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Prashanth Ramanathpur Viswanath ,  Soyeb Nagori ,  Manu Mathew

    IPC: G06K9/00 ,  G06K9/46 ,  G06T7/579 ,  G06T7/269

    Abstract: A vehicular structure from motion (SfM) system can store a number of image frames acquired from a vehicle-mounted camera in a frame stack according to a frame stack update logic. The SfM system can detect feature points, generate flow tracks, and compute depth values based on the image frames, the depth values to aid control of the vehicle. The frame stack update logic can select a frame to discard from the stack when a new frame is added to the stack, and can be changed from a first in, first out (FIFO) logic to last in, first out (LIFO) logic upon a determination that the vehicle is stationary. An optical flow tracks logic can also be modified based on the determination. The determination can be made based on a dual threshold comparison to insure robust SfM system performance.

    Intra/inter mode decision for predictive frame encoding
    74.
    发明授权
    Intra/inter mode decision for predictive frame encoding 有权

    公开(公告)号：US10165270B2

    公开(公告)日：2018-12-25

    申请号：US15419512

    申请日：2017-01-30

    Applicant: Texas Instruments Incorporated

    Inventor： Soyeb Nagori ,  Manu Mathew ,  Pramod Kumar Swami

    IPC: H04N19/107 ,  H04N19/176 ,  H04N19/147 ,  H04N19/50

    Abstract: This invention predicts that intra mode prediction is more effective for the macroblocks where motion estimation in inter mode prediction fails. This failure is indicated by a large value of the inter mode SAD. This invention performs intra mode prediction for only macro blocks have larger inter mode SADs. The definition of a large inter mode SAD differs for different content. This invention compares the inter mode SAD of a current macroblock with an adaptive threshold. This adaptive threshold depends on the average and variance of the SADs of the previous predicted frame. An adaptive threshold is calculated for each new predictive frame.

    WINDOW GROUPING AND TRACKING FOR FAST OBJECT DETECTION
    80.
    发明申请
    WINDOW GROUPING AND TRACKING FOR FAST OBJECT DETECTION 审中-公开
    窗口分组和跟踪快速对象检测

    公开(公告)号：US20170011520A1

    公开(公告)日：2017-01-12

    申请号：US15205598

    申请日：2016-07-08

    Applicant: Texas Instruments Incorporated

    Inventor： Manu Mathew ,  Soyeb Noormohammed Nagori ,  Shyam Jagannathan

    IPC: G06T7/00 ,  G06K9/48 ,  G06K9/62

    CPC classification number: G06K9/6215 ,  G06K9/6218 ,  G06K9/6232

    Abstract: Disclosed examples include image processing methods and systems to process image data, including computing a plurality of scaled images according to input image data for a current image frame, computing feature vectors for locations of the individual scaled images, classifying the feature vectors to determine sets of detection windows, and grouping detection windows to identify objects in the current frame, where the grouping includes determining first clusters of the detection windows using non-maxima suppression grouping processing, determining positions and scores of second clusters using mean shift clustering according to the first clusters, and determining final clusters representing identified objects in the current image frame using non-maxima suppression grouping of the second clusters. Disclosed examples also include methods and systems to track identified objects from one frame to another using feature vectors and overlap of identified objects between frames to minimize computation intensive operations involving feature vectors.

    Abstract translation: 公开的示例包括图像处理方法和处理图像数据的系统，包括根据当前图像帧的输入图像数据计算多个缩放图像，计算各个缩放图像的位置的特征向量，对特征向量进行分类以确定 检测窗口和分组检测窗口以识别当前帧中的对象，其中分组包括使用非最大抑制分组处理来确定检测窗口的第一聚类，使用根据第一簇的平均移位聚类来确定第二簇的位置和得分 并且使用第二簇的非最大抑制分组来确定表示当前图像帧中的识别对象的最终簇。 公开的示例还包括使用特征向量来跟踪所识别的对象的方法和系统，以及帧之间的已标识对象的重叠，以使涉及特征向量的计算密集型操作最小化。

Patent Agency Ranking