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    MACHINE LEARNING OF REAL-TIME IMAGE CAPTURE PARAMETERS
    1.
    发明申请
    MACHINE LEARNING OF REAL-TIME IMAGE CAPTURE PARAMETERS 有权
    机器学习实时图像捕获参数

    公开(公告)号：US20160284095A1

    公开(公告)日：2016-09-29

    申请号：US14670642

    申请日：2015-03-27

    申请人： Edmond Chalom ,  Dmitry Rudoy ,  Noam Levy ,  Harish Essaky Sankaran ,  Jarno Nikkanen ,  Joni-Matti Maatta ,  German Voronov

    发明人： Edmond Chalom ,  Dmitry Rudoy ,  Noam Levy ,  Harish Essaky Sankaran ,  Jarno Nikkanen ,  Joni-Matti Maatta ,  German Voronov

    IPC分类号： G06T7/00 ,  H04N5/232 ,  G06K9/46

    CPC分类号： H04N5/23229 ,  G06K9/00684 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/20084 ,  H04N5/23222

    摘要： Methods, apparatuses and systems may provide for operating a machine learning device by obtaining training image data, conducting an offline prediction analysis of the training image data with respect to one or more real-time parameters of an image capture device, and generating one or more parameter detection models based on the offline prediction analysis. Additionally, methods, apparatuses and systems may provide for operating the image capture device by obtaining a candidate image associated with the image capture device, determining that the candidate image corresponds to a particular type of scene represented in a parameter prediction model, and adjusting one or more real-time parameters of the image capture device based at least in part on one or more parameter values associated with the particular type of scene.

    摘要翻译： 方法，装置和系统可以通过获得训练图像数据，针对图像捕获装置的一个或多个实时参数对训练图像数据进行离线预测分析，并且生成一个或多个 基于离线预测分析的参数检测模型。 另外，方法，装置和系统可以通过获得与图像捕获装置相关联的候选图像，确定候选图像对应于在参数预测模型中表示的特定类型的场景，并且调整一个或者 至少部分地基于与特定类型的场景相关联的一个或多个参数值的图像捕获设备的更多实时参数。

    Scene cut detection in a video bitstream
    3.
    发明授权
    Scene cut detection in a video bitstream 有权

    公开(公告)号：US06996183B2

    公开(公告)日：2006-02-07

    申请号：US10014963

    申请日：2001-12-11

    申请人： Richard Mateer Peterson ,  Edmond Chalom

    发明人： Richard Mateer Peterson ,  Edmond Chalom

    IPC分类号： H04N7/12

    CPC分类号： H04N5/147 ,  H04N19/48 ,  H04N19/87 ,  H04N19/90

    摘要： A method and apparatus are disclosed for detecting scene cuts in a video bitstream. The number of coded macroblocks for each of a plurality of potential scene cuts is determined. The number of predicted macroblocks for each of the plurality of potential scene cuts is determined. A ratio of the number of coded macroblocks to the number of predicted macroblocks for each of a plurality frames corresponding to the potential scene cuts is then calculated. A frame having the desired ratio is selected. The ratio of the selected frame is compared to a threshold value. A scene cut is reported as detected responsive to a determination that the ratio of the selected frame satisfies the threshold value.

    Apparatus and method for context-based indexing and retrieval of image sequences
    6.
    发明授权
    Apparatus and method for context-based indexing and retrieval of image sequences 有权
    用于基于上下文的索引和图像序列检索的装置和方法

    公开(公告)号：US06643387B1

    公开(公告)日：2003-11-04

    申请号：US09490085

    申请日：2000-01-24

    申请人： Sriram Sethuraman ,  Edmond Chalom ,  Iraj Sodagar

    发明人： Sriram Sethuraman ,  Edmond Chalom ,  Iraj Sodagar

    IPC分类号： G06K962

    CPC分类号： G06K9/00744 ,  G06F17/30811 ,  G06K9/00765

    摘要： An apparatus and method for implementing object motion segmentation and object trajectory segmentation for an image sequence. Specifically, block-based motion vectors for a pair of adjacent frames are used to derive optical flow, e.g., affine, motion parameters. Such optical flow motion parameters are employed to determine key objects where their motion and trajectory within a sequence of frames are calculated and stored. Such object motion information is used to improve or offer image processing functions such as context-based indexing of the input image sequence by using motion-based information.

    摘要翻译： 一种用于实现图像序列的物体运动分割和物体轨迹分割的装置和方法。 具体地，使用一对相邻帧的基于块的运动矢量来导出光流，例如仿射运动参数。 采用这种光流运动参数来确定其中计算并存储帧序列内的运动和轨迹的关键对象。 这样的对象运动信息用于通过使用基于运动的信息来改进或提供图像处理功能，例如输入图像序列的基于上下文的索引。

    Management of properties for hyperlinked video
    8.
    发明授权
    Management of properties for hyperlinked video 有权
    超链接视频的属性管理

    公开(公告)号：US06642940B1

    公开(公告)日：2003-11-04

    申请号：US09518588

    申请日：2000-03-03

    申请人： Jonathan Dakss ,  V. Michael Bove, Jr. ,  Nuno Vasconcelos ,  Edmond Chalom

    发明人： Jonathan Dakss ,  V. Michael Bove, Jr. ,  Nuno Vasconcelos ,  Edmond Chalom

    IPC分类号： G06F300

    CPC分类号： G06F17/30855

    摘要： The process of identifying and associating information with objects in a hyperlinked video sequence is automated by creating an accessible list of object information, including semantic representations, which updates with the identification of new objects. Because objects appear in more than one shot in many video sequences, the invention makes guesses about the identification of objects in a newly segmented sequence. If it guesses the object correctly, the author is relieved of the need to manually search a database of object information to make the association.

    摘要翻译： 通过创建可访问的对象信息列表来自动识别和关联信息与超链接视频序列中的对象的过程，包括语义表示，其随着新对象的识别而更新。 因为对象在许多视频序列中出现多于一个镜头，所以本发明对新分割的序列中的对象的识别进行猜测。 如果它正确地猜测到对象，作者就不需要手动搜索对象信息的数据库来进行关联。

    Apparatus and method for describing the motion parameters of an object in an image sequence
    9.
    发明授权
    Apparatus and method for describing the motion parameters of an object in an image sequence 有权
    用于描述图像序列中的对象的运动参数的装置和方法

    公开(公告)号：US06366701B1

    公开(公告)日：2002-04-02

    申请号：US09489627

    申请日：2000-01-24

    申请人： Edmond Chalom ,  Sriram Sethuraman ,  Iraj Sodagar

    发明人： Edmond Chalom ,  Sriram Sethuraman ,  Iraj Sodagar

    IPC分类号： G06K946

    CPC分类号： G06F17/30811 ,  G06K9/00335 ,  G06K9/34 ,  G06T7/20

    摘要： An apparatus and method for implementing object trajectory segmentation for an image sequence. Specifically, block-based motion vectors for a pair of adjacent frames are used to derive optical flow, e.g., affine, motion parameters. The object trajectory segmenter applies the optical flow motion parameters to form a new prediction or method for predicting the positions of all the points on an object over time within an interval. The new prediction is then applied and the result is compared with an error metric. The results from such comparison with the error metric will dictate the proper intervals (temporal boundaries) of the image sequence at which the motion parameters are valid for various key objects.

    摘要翻译： 一种用于实现图像序列的对象轨迹分割的装置和方法。 具体地，使用一对相邻帧的基于块的运动矢量来导出光流，例如仿射运动参数。 对象轨迹分割器应用光流运动参数以形成用于在间隔内随时间预测物体上的所有点的位置的新预测或方法。 然后应用新的预测，并将结果与​​误差度量进行比较。 与误差度量的这种比较的结果将指示运动参数对于各种关键对象有效的图像序列的适当间隔（时间边界）。