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    Extraction of high-level features from low-level features of multimedia content
    1.
    发明授权
    Extraction of high-level features from low-level features of multimedia content 有权
    从多媒体内容的低级功能中提取高级功能

    公开(公告)号：US06763069B1

    公开(公告)日：2004-07-13

    申请号：US09610763

    申请日：2000-07-06

    申请人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun ,  Peng Xu ,  Shih-Fu Chang

    发明人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun ,  Peng Xu ,  Shih-Fu Chang

    IPC分类号： H04N712

    CPC分类号： G06K9/00711

    摘要： A method extracts high-level features from a video including a sequence of frames. Low-level features are extracted from each frame of the video. Each frame of the video is labeled according to the extracted low-level features to generate sequences of labels. Each sequence of labels is associated with one of the extracted low-level feature. The sequences of labels are analyzed using learning machine learning techniques to extract high-level features of the video.

    摘要翻译： 一种方法从包括帧序列的视频中提取高级特征。 从视频的每个帧中提取低级功能。 视频的每个帧根据提取的低级特征进行标记，以生成标签序列。 标签的每个序列与提取的低级特征之一相关联。 使用学习机器学习技术来分析标签序列以提取视频的高级特征。

    Method for representing and comparing multimedia content according to rank
    3.
    发明授权
    Method for representing and comparing multimedia content according to rank 失效
    根据等级表示和比较多媒体内容的方法

    公开(公告)号：US07383504B1

    公开(公告)日：2008-06-03

    申请号：US09518937

    申请日：2000-03-06

    申请人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun

    发明人： Ajay Divakaran ,  Anthony Vetro ,  Huifang Sun

    IPC分类号： G06T11/20 ,  G06K9/45 ,  G06F3/00

    CPC分类号： G06K9/00711 ,  G06K9/6878

    摘要： A method for generating a representation of multimedia content by first segmenting the multimedia content spatially and temporally to extract objects. Feature extraction is applied to the objects to produce semantic and syntactic attributes, relations, and a containment set of content entities. The content entities are coded to produce directed acyclic graphs of the content entities, where each directed acyclic graph represents a particular interpretation of the multimedia content. Attributes of each content entity are measured and the measured attributes are assigned to each corresponding content entity in the directed acyclic graphs to rank order the multimedia content.

    摘要翻译： 一种用于通过首先在空间和时间上分割多媒体内容以提取对象来生成多媒体内容的表示的方法。 特征提取被应用于对象以产生语义和句法属性，关系以及内容实体的包含集合。 内容实体被编码以产生内容实体的有向非循环图，其中每个有向无环图表示多媒体内容的特定解释。 测量每个内容实体的属性，并将测量的属性分配给有向非循环图中的每个对应的内容实体以对多媒体内容排序。

    Networked surveillance and control system
    4.
    发明授权
    Networked surveillance and control system 有权
    网络监控系统

    公开(公告)号：US06646676B1

    公开(公告)日：2003-11-11

    申请号：US09612876

    申请日：2000-07-10

    申请人： Paul DaGraca ,  Anthony Vetro ,  Ajay Divakaran ,  Huifang Sun

    发明人： Paul DaGraca ,  Anthony Vetro ,  Ajay Divakaran ,  Huifang Sun

    IPC分类号： H04N718

    CPC分类号： G06K9/00771 ,  G06F17/30805 ,  G06F17/30811 ,  G06F17/30814 ,  G06F17/30843 ,  H04N7/181 ,  H04N21/23418 ,  H04N21/2389 ,  H04N21/4385 ,  H04N21/8405

    摘要： A surveillance and control system includes a feature extraction unit to dynamically extract low-level features from a compressed digital video signal, a description encoder, coupled to the feature extraction unit, to encode the low-level features as content descriptors. An event detector is coupled to the description encoder to detect security events from the content descriptors, and a control signal processor, coupled to the event detector, to generate control signals in response to detecting the security events.

    摘要翻译： 监视和控制系统包括特征提取单元，其从压缩数字视频信号动态地提取低级特征，耦合到特征提取单元的描述编码器，以将低级特征编码为内容描述符。 事件检测器耦合到描述编码器以检测来自内容描述符的安全事件，以及耦合到事件检测器的控制信号处理器，以响应于检测到安全事件而产生控制信号。

    Adaptable compressed bitstream transcoder
    5.
    发明授权
    Adaptable compressed bitstream transcoder 失效
    适应压缩比特流代码转换器

    公开(公告)号：US06542546B1

    公开(公告)日：2003-04-01

    申请号：US09496706

    申请日：2000-02-02

    申请人： Anthony Vetro ,  Ajay Divakaran ,  Huifang Sun

    发明人： Anthony Vetro ,  Ajay Divakaran ,  Huifang Sun

    IPC分类号： H04N726

    CPC分类号： H04L47/10 ,  H04L29/06 ,  H04L29/06027 ,  H04L65/605 ,  H04L65/80 ,  H04L67/2819 ,  H04L67/2823 ,  H04L69/04 ,  H04L69/329 ,  H04N19/124 ,  H04N19/147 ,  H04N19/149 ,  H04N19/152 ,  H04N19/172 ,  H04N19/19 ,  H04N19/40 ,  H04N19/61 ,  H04N21/84

    摘要： A multi-media delivery system for delivering a compressed bitstream through a network to a user device includes a transcoder and a manager. The transcoder is configured to operate on the bit stream using in any one of a plurality of conversion modes. The manager is configured to selecting a particular one of the plurality of conversion modes dependent on semantic content of the bitstream and network characteristics. The system also includes a content classifier to determine the content characteristics, and a model predicator to determine the network characteristics, and user device characteristics. An integrator of the manager generates an optimal rate-quality function to be used for selecting the particular conversion model for a given available bit rate of the network.

    摘要翻译： 用于通过网络将压缩比特流传送到用户设备的多媒体传送系统包括代码转换器和管理器。 代码转换器被配置为使用多种转换模式中的任何一种对比特流进行操作。 管理器被配置为根据比特流的语义内容和网络特性来选择多个转换模式中的特定一个。 该系统还包括内容分类器，用于确定内容特征，以及一个模型预测器来确定网络特性，以及用户设备特性。 管理者的积分器产生最佳速率质量函数，用于为网络的给定可用比特率选择特定的转换模型。

    Methods of feature extraction of video sequences
    7.
    发明授权
    Methods of feature extraction of video sequences 失效
    视频序列特征提取方法

    公开(公告)号：US06618507B1

    公开(公告)日：2003-09-09

    申请号：US09236838

    申请日：1999-01-25

    申请人： Ajay Divakaran ,  Huifang Sun ,  Hiroshi Ito

    发明人： Ajay Divakaran ,  Huifang Sun ,  Hiroshi Ito

    IPC分类号： G06K946

    CPC分类号： G06K9/00744 ,  G06F17/30811

    摘要： This invention relates to methods of feature extraction from MPEG-2 and MPEG-4 compressed video sequences. The spatio-temporal compression complexity of video sequences is evaluated for feature extraction by inspecting the compressed bitstream and the complexity is used as a descriptor of the spatio-temporal characteristics of the video sequence. The spatio-temporal compression complexity measure is used as a matching criterion and can also be used for absolute indexing. Feature extraction can be accomplished in conjunction with scene change detection techniques and the combination has reasonable accuracy and the advantage of high simplicity since it is based on entropy decoding of signals in compressed form and does not require computationally expensive inverse Discrete Cosine Transformation (DCT).

    摘要翻译： 本发明涉及从MPEG-2和MPEG-4压缩视频序列中提取特征的方法。 通过检查压缩比特流来评估视频序列的时空压缩复杂度，并将复杂度用作视频序列的时空特征的描述符。 时空压缩复杂度测量用作匹配标准，也可用于绝对索引。 特征提取可以结合场景变化检测技术来实现，并且组合具有合理的精度和高简单性的优点，因为它是基于压缩形式的信号的熵解码，并且不需要计算上昂贵的反离散余弦变换（DCT）。

    Descriptor for spatial distribution of motion activity in compressed video
    8.
    发明授权
    Descriptor for spatial distribution of motion activity in compressed video 有权
    压缩视频中运动活动空间分布的描述符

    公开(公告)号：US06600784B1

    公开(公告)日：2003-07-29

    申请号：US09496707

    申请日：2000-02-02

    申请人： Ajay Divakaran ,  Kadir A. Peker ,  Huifang Sun

    发明人： Ajay Divakaran ,  Kadir A. Peker ,  Huifang Sun

    IPC分类号： H04N712

    CPC分类号： G06F17/30781 ,  G06K9/00335 ,  G06K9/00711 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/20021

    摘要： A method describes motion activity in a video sequence. A motion activity matrix is determined for the video sequence. A threshold for the motion activity matrix is determined. Connected regions of motion vectors at least equal to the threshold are identified and measured for size. A histogram of the distribution of the sizes of the connected areas is constructed for the entire video sequence. The histogram is normalized to characterize the spatial distribution of the video sequence in a motion activity descriptor.

    摘要翻译： 一种方法描述视频序列中的运动活动。 为视频序列确定运动活动矩阵。 确定运动活动矩阵的阈值。 至少等于阈值的运动矢量的连接区域被识别并测量尺寸。 为整个视频序列构建连接区域的大小分布的直方图。 将直方图归一化以表征运动活动描述符中的视频序列的空间分布。

    Structural analysis of videos with hidden markov models and dynamic programming
    9.
    发明授权
    Structural analysis of videos with hidden markov models and dynamic programming 失效
    具有隐马尔可夫模型和动态规划的视频的结构分析

    公开(公告)号：US06865226B2

    公开(公告)日：2005-03-08

    申请号：US10005623

    申请日：2001-12-05

    申请人： Lexing Xie ,  Shih-Fu Chang ,  Ajay Divakaran ,  Huifang Sun

    发明人： Lexing Xie ,  Shih-Fu Chang ,  Ajay Divakaran ,  Huifang Sun

    IPC分类号： H04N5/92 ,  G06F17/30 ,  H04N5/91 ,  H04N7/26 ,  H04N7/12

    CPC分类号： G06K9/00771 ,  G06F17/30799 ,  G06F17/30811 ,  G06F17/30852 ,  G06K9/00711

    摘要： A method analyzes a high-level syntax and structure of a continuous compressed video according to a plurality of states. First, a set of hidden Markov models for each of the states is trained with a training video segmented into known states. Then, a set of domain specific features are extracted from a fixed-length sliding window of the continuous compressed video, and a set of maximum likelihoods is determined for each set of domain specific features using the sets of trained hidden Markov models. Finally, dynamic programming is applied to each set of maximum likelihoods to determine a specific state for each fixed-length sliding window of frames of the compressed video.

    摘要翻译： 一种方法根据多种状态分析连续压缩视频的高级语法和结构。 首先，针对每个州的一组隐马尔可夫模型训练有一个分为已知状态的训练视频。 然后，从连续压缩视频的固定长度的滑动窗口中提取一组特定于域的特征，并且使用训练的隐马尔科夫模型集合针对每组特定特征确定一组最大似然。 最后，将动态规划应用于每组最大似然度，以确定压缩视频帧的每个固定长度滑动窗口的特定状态。