Systems and methods for automatically editing a video
    2.
    发明授权
    Systems and methods for automatically editing a video 有权
    自动编辑视频的系统和方法

    公开(公告)号:US07127120B2

    公开(公告)日:2006-10-24

    申请号:US10286348

    申请日:2002-11-01

    IPC分类号: G06K9/40

    CPC分类号: G11B27/034 G11B27/28

    摘要: Systems and methods to automatically edit a video to generate a video summary are described. In one aspect, sub-shots are extracted from the video. Importance measures are calculated for at least a portion of the extracted sub-shots. Respective relative distributions for sub-shots having relatively higher importance measures as compared to importance measures of other sub-shots are determined. Based on the determined relative distributions, sub-shots that do not exhibit a uniform distribution with respect to other sub-shots in the particular ones are dropped. The remaining sub-shots are connected with respective transitions to generate the video summary.

    摘要翻译: 描述了自动编辑视频以生成视频摘要的系统和方法。 在一方面,从视频中提取子拍摄。 对于提取的子拍摄的至少一部分计算重要性度量。 确定与其他子拍摄重要度量相比具有相对较高重要度量的子投影的相对相对分布。 基于所确定的相对分布,相对于特定的其他子投影,不显示均匀分布的子投影。 剩余的子拍摄与各自的转换相连接以产生视频摘要。

    Learning-based automatic commercial content detection
    3.
    发明授权
    Learning-based automatic commercial content detection 失效
    基于学习的自动商业内容检测

    公开(公告)号:US07164798B2

    公开(公告)日:2007-01-16

    申请号:US10368235

    申请日:2003-02-18

    IPC分类号: G06K9/72 H04H9/00

    CPC分类号: G06K9/00711

    摘要: Systems and methods for learning-based automatic commercial content detection are described. In one aspect, program data is divided into multiple segments. The segments are analyzed to determine visual, audio, and context-based feature sets that differentiate commercial content from non-commercial content. The context-based features are a function of single-side left and/or right neighborhoods of segments of the multiple segments.

    摘要翻译: 描述了基于学习的自动商业内容检测的系统和方法。 在一个方面,程序数据被分成多个段。 分析段以确定将商业内容与非商业内容区分开的视觉,音频和基于上下文的特征集。 基于上下文的特征是多个段的单侧左和/或右邻域的函数。

    Learning-based automatic commercial content detection
    4.
    发明授权
    Learning-based automatic commercial content detection 失效
    基于学习的自动商业内容检测

    公开(公告)号:US07565016B2

    公开(公告)日:2009-07-21

    申请号:US11623304

    申请日:2007-01-15

    IPC分类号: G06K9/72 H04H9/00

    CPC分类号: G06K9/00711

    摘要: Systems and methods for learning-based automatic commercial content detection are described. In one aspect, the systems and methods include a training component and an analyzing component. The training component trains a commercial content classification model using a kernel support vector machine. The analyzing component analyzes program data such as video and audio data using the commercial content classification model and one or more of single-side left neighborhood(s) and right neighborhood(s) of program data segments. Based on this analysis, each of the program data segments are classified as being commercial or non-commercial segments.

    摘要翻译: 描述了基于学习的自动商业内容检测的系统和方法。 一方面,系统和方法包括训练组件和分析组件。 训练组件使用内核支持向量机训练商业内容分类模型。 分析组件使用商业内容分类模型和程序数据段的单侧左邻居和右邻居中的一个或多个来分析诸如视频和音频数据的程序数据。 基于此分析,每个程序数据段被分类为商业或非商业领域。

    Learning-Based Automatic Commercial Content Detection
    5.
    发明申请
    Learning-Based Automatic Commercial Content Detection 失效
    基于学习的自动商业内容检测

    公开(公告)号:US20070112583A1

    公开(公告)日:2007-05-17

    申请号:US11623304

    申请日:2007-01-15

    IPC分类号: G06Q10/00

    CPC分类号: G06K9/00711

    摘要: Systems and methods for learning-based automatic commercial content detection are described. In one aspect, the systems and methods include a training component and an analyzing component. The training component trains a commercial content classification model using a kernel support vector machine. The analyzing component analyzes program data such as video and audio data using the commercial content classification model and one or more of single-side left neighborhood(s) and right neighborhood(s) of program data segments. Based on this analysis, each of the program data segments are classified as being commercial or non-commercial segments.

    摘要翻译: 描述了基于学习的自动商业内容检测的系统和方法。 一方面,系统和方法包括训练组件和分析组件。 训练组件使用内核支持向量机训练商业内容分类模型。 分析组件使用商业内容分类模型和程序数据段的单侧左邻居和右邻居中的一个或多个来分析诸如视频和音频数据的程序数据。 基于此分析,每个程序数据段被分类为商业或非商业领域。

    Systems and methods for personalized karaoke
    6.
    发明申请
    Systems and methods for personalized karaoke 审中-公开
    个性化卡拉OK的系统和方法

    公开(公告)号:US20050123886A1

    公开(公告)日:2005-06-09

    申请号:US10723049

    申请日:2003-11-26

    IPC分类号: G10H1/36 G10H7/00

    摘要: Systems and methods are described that implement personalized karaoke, wherein a user's personal home video and photographs are used to form a background for the lyrics during a karaoke performance. An exemplary karaoke apparatus is configured to segment visual content to produce a plurality of sub-shots and to segment music to produce a plurality of music sub-clips. Having produced the visual content sub-shots and music sub-clips, the exemplary karaoke apparatus shortens some of the plurality of sub-shots to a length of a corresponding music sub-clip from within the plurality of music sub-clips. The plurality of sub-shots is then displayed as a background to lyrics associated with the music, thereby adding interest to a karaoke performance.

    摘要翻译: 描述了实现个性化卡拉OK的系统和方法,其中用户的个人家庭视频和照片用于在卡拉OK演奏期间形成歌词的背景。 示例性卡拉OK装置被配置为分割可视内容以产生多个子拍摄并分割音乐以产生多个音乐子剪辑。 在产生视觉内容子拍摄和音乐子剪辑之后,示例性卡拉OK装置将多个子拍摄中的一些从多个音乐子剪辑中缩短到相应音乐子剪辑的长度。 然后将多个子拍摄显示为与音乐相关联的歌词的背景,从而增加对卡拉OK演奏的兴趣。

    Tag association with image regions
    8.
    发明授权
    Tag association with image regions 有权
    标签与图像区域的关联

    公开(公告)号:US09047319B2

    公开(公告)日:2015-06-02

    申请号:US12972203

    申请日:2010-12-17

    IPC分类号: G06F17/30 G06K9/00

    CPC分类号: G06F17/30256 G06F17/30268

    摘要: A computing device configured to determine that one or more regions of an image are associated with a tag of the image is described herein. The computing device is further configured to determine one or more attribute tags describing at least one of the content or context of the one or more regions. Upon determining the attribute tags, the computing device associates the attribute tags with the tag to enable image searching based on the tag and attribute tags.

    摘要翻译: 在此描述了被配置为确定图像的一个或多个区域与图像的标签相关联的计算设备。 计算设备还被配置为确定描述一个或多个区域的内容或上下文中的至少一个的一个或多个属性标签。 在确定属性标签之后,计算设备将属性标签与标签相关联,以便基于标签和属性标签启用图像搜索。

    Robust Large-Scale Visual Codebook Construction
    9.
    发明申请
    Robust Large-Scale Visual Codebook Construction 有权
    坚固的大型视觉代码簿构建

    公开(公告)号:US20120251007A1

    公开(公告)日:2012-10-04

    申请号:US13077735

    申请日:2011-03-31

    IPC分类号: G06K9/46

    CPC分类号: G06K9/6223

    摘要: Techniques for construction of a visual codebook are described herein. Feature points may be extracted from large numbers of images. In one example, images providing N feature points may be used to construct a codebook of K words. The centers of each of K clusters of feature points may be initialized. In a looping or iterative manner, an assignment step assigns each feature point to a cluster and an update step locates a center of each cluster. The feature points may be assigned to a cluster based on a lesser of a distance to a center of a previously assigned cluster and a distance to a center derived by operation of an approximate nearest neighbor algorithm having aspects of randomization. The loop terminates when the feature points have sufficiently converged to their respective clusters. Centers of the clusters represent visual words, which may be used to construct the visual codebook.

    摘要翻译: 本文描述了构建视觉码本的技术。 特征点可以从大量图像中提取出来。 在一个示例中,提供N个特征点的图像可以用于构造K个字的码本。 可以初始化K个特征点中的每一个的中心。 以循环或迭代的方式,分配步骤将每个特征点分配给集群,并且更新步骤定位每个集群的中心。 可以基于距先前分配的簇的中心的距离中较小的一个特征点来分配特征点,以及通过具有随机化方面的近似最近邻算法的操作导出的到中心的距离。 当特征点已经充分收敛到它们各自的簇时,环路终止。 集群的中心表示视觉词,可用于构建视觉码本。

    Tag Association with Image Regions
    10.
    发明申请
    Tag Association with Image Regions 有权
    标签与图像区域的关联

    公开(公告)号:US20120158721A1

    公开(公告)日:2012-06-21

    申请号:US12972203

    申请日:2010-12-17

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30256 G06F17/30268

    摘要: A computing device configured to determine that one or more regions of an image are associated with a tag of the image is described herein. The computing device is further configured to determine one or more attribute tags describing at least one of the content or context of the one or more regions. Upon determining the attribute tags, the computing device associates the attribute tags with the tag to enable image searching based on the tag and attribute tags.

    摘要翻译: 在此描述了被配置为确定图像的一个或多个区域与图像的标签相关联的计算设备。 计算设备还被配置为确定描述一个或多个区域的内容或上下文中的至少一个的一个或多个属性标签。 在确定属性标签之后,计算设备将属性标签与标签相关联,以便基于标签和属性标签启用图像搜索。