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公开(公告)号：US20080033674A1
公开(公告)日：2008-02-07
申请号：US11498289
申请日：2006-08-01
CPC分类号： G05B23/0254 , F24F11/30 , F24F11/52 , F24F2110/00
摘要： A method and system detects and diagnoses faults in heating, ventilating and air conditioning (HVAC) equipment. Internal state variables of the HVAC equipment are measured under external driving conditions. Expected internal state variables are predicted for the HVAC equipment operating under the external driving conditions using a locally weighted regression model. Features are determined of the HVAC based on differences between the measured and predicted state variables. The features are classified to determine a condition of the HVAC equipment.
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公开(公告)号：US07444251B2
公开(公告)日：2008-10-28
申请号：US11498289
申请日：2006-08-01
CPC分类号： G05B23/0254 , F24F11/30 , F24F11/52 , F24F2110/00
摘要： A method and system detects and diagnoses faults in heating, ventilating and air conditioning (HVAC) equipment. Internal state variables of the HVAC equipment are measured under external driving conditions. Expected internal state variables are predicted for the HVAC equipment operating under the external driving conditions using a locally weighted regression model. Features are determined of the HVAC based on differences between the measured and predicted state variables. The features are classified to determine a condition of the HVAC equipment.
摘要翻译： 一种方法和系统检测和诊断加热，通风和空调（HVAC）设备中的故障。 HVAC设备的内部状态变量在外部驾驶条件下测量。 对于在外部驾驶条件下使用局部加权回归模型运行的暖通空调设备，预测内部状态变量。 特征根据测量和预测状态变量之间的差异确定HVAC。 这些特征被分类以确定HVAC设备的状况。
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公开(公告)号：US07327885B2
公开(公告)日：2008-02-05
申请号：US10610467
申请日：2003-06-30
CPC分类号： H04N21/4394 , G06K9/00711 , H04H60/37 , H04H60/58 , H04H60/59 , H04N21/44008
摘要： A method detects short term, unusual events in a video. First, features are extracted features from the audio and the video portions of the video. Segments of the video are labeled according to the features. A global sliding window is applied to the labeled segments to determine global characteristics over time, while a local sliding window is applied only to the labeled segments of the global sliding window to determine local characteristic over time. The local window is substantially shorter in time than the global window. A distance between the global and local characteristic is measured to determine occurrences of the unusual short time events.
摘要翻译： 一种方法可以检测视频中的短期，异常事件。 首先，功能是从视频的音频和视频部分中提取的特征。 视频的片段根据功能进行标注。 将全局滑动窗口应用于标记的段以确定随时间的全局特性，而局部滑动窗口仅应用于全局滑动窗口的标记段以确定随时间的局部特性。 本地窗口在时间上比全局窗口短得多。 测量全局和局部特性之间的距离，以确定异常短时间事件的发生。
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公开(公告)号：US07110458B2
公开(公告)日：2006-09-19
申请号：US09845009
申请日：2001-04-27
IPC分类号： H04N7/18
CPC分类号： H04N19/186 , G06F17/30802 , G06F17/30811 , G06F17/30814 , G06F17/30843 , G06K9/00711 , G11B27/28 , H04N19/51
摘要： A method measures an intensity of motion activity in a compressed video. The intensity of the motion activity is used to partition the video into segments of equal cumulative motion activity. Key-frames are then selected from each segments. The selected key-frames are concatenated in temporal order to form a summary of the video.
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公开(公告)号：US07143352B2
公开(公告)日：2006-11-28
申请号：US10285787
申请日：2002-11-01
申请人： Ajay Divakaran , Kadir A. Peker
发明人： Ajay Divakaran , Kadir A. Peker
CPC分类号： G06K9/00711 , G06F17/30787 , G06F17/30802 , G06F17/30811 , G06F17/30843
摘要： A method summarizes unknown content of a video. First, low-level features of the video are selected. The video is then partitioned into segments according to the low-level features. The segments are grouped into disjoint clusters where each cluster contains similar segments. The clusters are labeled according to the low-level features, and parameters characterizing the clusters are assigned. High-level patterns among the labels are found, and the these patterns are used to extract frames from the video according to form a content-adaptive summary of the unknown content of the video.
摘要翻译： 一种方法总结了视频的未知内容。 首先，选择视频的低级功能。 然后根据低级特征将视频分割成段。 这些段被分组成不相交的簇，其中每个簇包含相似的段。 集群根据低级特征进行标记，并分配表征集群的参数。 发现标签中的高级图案，并且这些图案用于根据视频的未知内容的内容自适应摘要从视频中提取帧。
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6.发明授权公开(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。
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公开(公告)号：US07555149B2
公开(公告)日：2009-06-30
申请号：US11258590
申请日：2005-10-25
申请人： Kadir A. Peker , Ajay Divakaran
发明人： Kadir A. Peker , Ajay Divakaran
IPC分类号： G06K9/00
CPC分类号： G06F17/30793 , G06F17/30843 , G06F17/30852 , G06K9/00711 , G06T7/215 , G11B27/034 , G11B27/28
摘要： A method generates a summary of a video. Faces are detected in a plurality of frames of the video. The frames are classified according to a number of faces detected in each frame and the video is partitioned into segments according to the classifications to produce a summary of the video. For each frame classified as having a single detected face, one or more characteristics of the face is determined. The frames are labeled according to the characteristics to produce labeled clusters and the segments are partitioned into sub-segments according to the labeled clusters.
摘要翻译： 一种方法生成视频的摘要。 在视频的多个帧中检测到脸部。 帧根据在每个帧中检测到的多个面部进行分类，并且根据分类将视频划分成段，以产生视频的摘要。 对于被分类为具有单个检测面的每个帧，确定面部的一个或多个特征。 根据特征标记帧以产生标记的簇，并且根据标记的簇将片段划分成子片段。
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公开(公告)号：US07406123B2
公开(公告)日：2008-07-29
申请号：US10616546
申请日：2003-07-10
申请人： Kadir A. Peker , Ajay Divakaran
发明人： Kadir A. Peker , Ajay Divakaran
IPC分类号： H04N7/12
CPC分类号： G11B27/105 , G11B27/005 , G11B27/28 , H04N5/783 , H04N9/8042
摘要： A method plays frames of a video adaptively according to a visual complexity of the video. First a spatial frequency of pixel within frames of the video is measured, as well as a temporal velocity of corresponding pixels between frames of the video. The spatial frequency is multiplied by the temporal velocity to obtain a measure of the visual complexity of the frames of the video. The frames of the video are then played at a speed that corresponds to the visual complexity.
摘要翻译： 一种方法根据视频的视觉复杂性自适应地播放视频的帧。 首先，测量视频帧内像素的空间频率，以及视频帧之间对应像素的时间速度。 空间频率乘以时间速度，以获得视频帧的视觉复杂度的度量。 然后以与视觉复杂度相对应的速度播放视频的帧。
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公开(公告)号：US06697523B1
公开(公告)日：2004-02-24
申请号：US09634364
申请日：2000-08-09
申请人： Ajay Divakaran , Kadir A. Peker , Huifang Sun
发明人： Ajay Divakaran , Kadir A. Peker , Huifang Sun
IPC分类号： G06K934
CPC分类号： G06K9/00711 , G06F17/30802 , G06F17/30811 , G06F17/30843
摘要： A method extracts an intensity of motion activity from shots in a compressed video. The method then uses the intensity of motion activity to segment the video into easy and difficult segments to summarize. Easy to summarize segments are represented by any frames selected from the easy to summarize segments, while a color based summarization process extracts generates sequences of frames from each difficult to summarize segment. The selected and generated frames of each segment in each shot are combined to form the summary of the compressed video.
摘要翻译： 一种方法从压缩视频中的拍摄中提取运动活动的强度。 然后，该方法使用运动活动的强度将视频分成容易和困难的部分来总结。 易于汇总的段由易于总结段选择的任何帧表示，而基于颜色的汇总过程提取从每个难以总结的段生成帧序列。 每个镜头中每个片段的选定和生成的帧被组合以形成压缩视频的摘要。
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公开(公告)号：US07375731B2
公开(公告)日：2008-05-20
申请号：US10285831
申请日：2002-11-01
申请人： Ajay Divakaran , Kadir A. Peker
发明人： Ajay Divakaran , Kadir A. Peker
CPC分类号： G06K9/00751 , G06F17/30787 , G06F17/30802 , G06F17/30808 , G06F17/30811 , G06F17/30843
摘要： A method mines unknown content of a video by first selecting one or more low-level features of the video. For each selected feature, or combination of features, time series data is generated. The time series data is then self-correlated to identify similar segments of the video according to the low-level features. The similar segments are grouped into clusters to discover high-level patterns in the unknown content of video.
摘要翻译： 一种通过首先选择视频的一个或多个低级特征来挖掘视频的未知内容的方法。 对于每个选定的特征或特征的组合，生成时间序列数据。 然后，时间序列数据被自相关，以根据低级特征来识别视频的类似片段。 类似的段被分组成群集以发现视频的未知内容中的高级模式。
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