公开(公告)号：US20060287996A1

公开(公告)日：2006-12-21

申请号：US11154752

申请日：2005-06-16

Applicant: John Kender ,  Milind Naphade

Inventor： John Kender ,  Milind Naphade

IPC: G06F17/30

CPC classification number: G06F16/40

Abstract: A system, method, and program product for tracking content are described. Aspects of invention allow bodies of content, whether from a common channel or from different channels, to be compared for relatedness. Comparison of different bodies of content involves analyzing both the actual content, characteristics of the source(s) of the content, and optionally, elapsed time between their respective broadcasts/communications. To this extent, a content similarity value, a source characteristic value and an optional temporal value for the portions of content are determined, and then used to compute a relatedness value of the (bodies of) content.

Abstract translation: 描述了用于跟踪内容的系统，方法和程序产品。 本发明的各个方面允许将内容的主体，不管是从公共信道还是从不同的信道，进行相关性的比较。 不同内容的比较涉及分析实际内容，内容的源的特征，以及可选地，各自的广播/通信之间的经过时间。 在这种程度上，确定内容部分的内容相似性值，源特征值和可选时间值，然后用于计算内容的（主体）的相关性值。

公开(公告)号：US20070005592A1

公开(公告)日：2007-01-04

申请号：US11158223

申请日：2005-06-21

Applicant: John Kender ,  Milind Naphade

Inventor： John Kender ,  Milind Naphade

IPC: G06F17/30

CPC classification number: G06N5/02 ,  G06F17/241

Abstract: A method, system and program product for evaluating annotations to content are described. Under aspects of the present invention, annotations made to content are received and evaluated for accuracy. Each annotation typically includes at least one element (e.g., terms) describing the content. The evaluation includes a syntactic level evaluation and at least one of a semantic level evaluation, a source level evaluation, a content level evaluation, or an annotator level evaluation. Based on the evaluations, feedback can be provided to an annotator making the annotations.

Abstract translation: 描述用于评估内容注释的方法，系统和程序产品。 在本发明的方面，接收并评估对内容的注释的准确性。 每个注释通常包括描述内容的至少一个元素（例如术语）。 评估包括句法级别评估和语义级别评估，源级评估，内容级别评估或注释级级评估中的至少一种。 基于评估，可以将反馈提供给进行注释的注释器。

公开(公告)号：US20060288272A1

公开(公告)日：2006-12-21

申请号：US11157035

申请日：2005-06-20

Applicant: John Kender ,  Milind Naphade

Inventor： John Kender ,  Milind Naphade

IPC: G06F17/00

CPC classification number: G06F17/30731

Abstract: A method, system and program product developing an annotation lexicon are described. Under aspects of the present invention, annotation(s) to piece(s) of content are received and analyzed using one or more computational analyses. Based on the analyses, feedback will be generated to improve the annotation lexicon and/or the ontology thereof. Such improvement can lead to, among other things: the re-arrangement of interrelationships of terms in the annotation lexicon; the addition, modification or deletion of terms from the annotation lexicon; the re-arrangement or clustering of terms within the annotation lexicon; etc.

公开(公告)号：US20050198575A1

公开(公告)日：2005-09-08

申请号：US10964264

申请日：2004-10-13

Applicant: Tiecheng Liu ,  John Kender

Inventor： Tiecheng Liu ,  John Kender

IPC: G06F17/30 ,  G11B27/00

CPC classification number: G06K9/00744 ,  G06F17/30843

Abstract: A method for selecting a subsequence of video frames (72-84) from a sequence of video frames (70) comprising defining a distance function between video frames (72-84) in the sequence of video frames (70). An optimization criterion is defined to express a feature of a plurality of subsequences of video frames (72-84) selected from the sequence of video frames (70). A method is disclosed for displaying key frames for browsing and streaming.

Abstract translation: 一种用于从视频帧序列（70）中选择视频帧（72-84）的子序列的方法，包括定义视频帧序列（70）中的视频帧（72-84）之间的距离函数。 定义优化标准来表示从视频帧序列（70）中选择的视频帧（72-84）的多个子序列的特征。 公开了一种用于显示用于浏览和流式传输的关键帧的方法。

公开(公告)号：US20060210157A1

公开(公告)日：2006-09-21

申请号：US10552829

申请日：2004-04-02

Applicant: Lalitha Agnihotri ,  Nevenka Dimitrova ,  John Kender

Inventor： Lalitha Agnihotri ,  Nevenka Dimitrova ,  John Kender

IPC: H04H9/00

CPC classification number: G06K9/00711 ,  G06F17/30793 ,  G06F17/30796 ,  G06F17/30843 ,  H04H60/58

Abstract: A method and apparatus are provided for segmenting and summarizing a music video (507) in a multimedia stream (505) using content analysis. A music video (507) is segmented in a multimedia stream (505) by evaluating a plurality of content features that are related to the multimedia stream. The plurality of content features includes at least two of a face presence feature; a videotext presence feature; a color histogram feature; an audio feature, a camera cut feature; and an analysis of key words obtained from a transcript of the at least one music video. The plurality of content features are processed using a pattern recognition engine (1000), such as a Bayesian Belief Network, or one or more video segmentation rules (1115) to identify the music video (507) in the multimedia stream (505). A chorus is detected in at least one music video (507) using a transcript (T) of the music video (507) based upon a repetition of words in the transcript. The extracted chorus may be employed for the automatic generation of a summary of the music video (507).

Abstract translation: 提供了一种使用内容分析在多媒体流（505）中分割和汇总音乐视频（507）的方法和装置。 通过评估与多媒体流相关的多个内容特征，音乐视频（507）在多媒体流（505）中被分割。 多个内容特征包括面部存在特征中的至少两个; 录像带存在功能; 颜色直方图特征; 音频功能，相机切割功能; 以及从至少一个音乐视频的抄本获得的关键词的分析。 使用诸如贝叶斯信仰网络的模式识别引擎（1000）或者识别多媒体流（505）中的音乐视频（507）的一个或多个视频分段规则（1115）来处理多个内容特征。 基于抄本中的单词的重复，使用音乐视频（507）的抄本（T）在至少一个音乐视频（507）中检测到合唱。 提取的合唱可以用于自动生成音乐视频的摘要（507）。

公开(公告)号：US07599554B2

公开(公告)日：2009-10-06

申请号：US10552829

申请日：2004-04-02

Applicant: Lalitha Agnihotri ,  Nevenka Dimitrova ,  John Kender

Inventor： Lalitha Agnihotri ,  Nevenka Dimitrova ,  John Kender

IPC: G06K9/34

CPC classification number: G06K9/00711 ,  G06F17/30793 ,  G06F17/30796 ,  G06F17/30843 ,  H04H60/58

Abstract: A method and apparatus are provided for segmenting and summarizing a music video (507) in a multimedia stream (505) using content analysis. A music video (507) is segmented in a multimedia stream (505) by evaluating a plurality of content features that are related to the multimedia stream. The plurality of content features includes at least two of a face presence feature; a videotext presence feature; a color histogram feature; an audio feature, a camera cut feature; and an analysis of key words obtained from a transcript of the at least one music video. The plurality of content features are processed using a pattern recognition engine (1000), such as a Bayesian Belief Network, or one or more video segmentation rules (1115) to identify the music video (507) in the multimedia stream (505). A chorus is detected in at least one music video (507) using a transcript (T) of the music video (507) based upon a repetition of words in the transcript. The extracted chorus may be employed for the automatic generation of a summary of the music video (507).

Abstract translation: 提供了一种使用内容分析在多媒体流（505）中分割和汇总音乐视频（507）的方法和装置。 通过评估与多媒体流相关的多个内容特征，音乐视频（507）在多媒体流（505）中被分割。 多个内容特征包括面部存在特征中的至少两个; 录像带存在功能; 颜色直方图特征; 音频功能，相机切割功能; 以及从至少一个音乐视频的抄本获得的关键词的分析。 使用诸如贝叶斯信仰网络的模式识别引擎（1000）或者识别多媒体流（505）中的音乐视频（507）的一个或多个视频分段规则（1115）来处理多个内容特征。 基于抄本中的单词的重复，使用音乐视频（507）的抄本（T）在至少一个音乐视频（507）中检测到合唱。 提取的合唱可以用于自动生成音乐视频的摘要（507）。

公开(公告)号：US20050213656A1

公开(公告)日：2005-09-29

申请号：US10987646

申请日：2004-11-12

Applicant: Tiecheng Liu ,  John Kender

Inventor： Tiecheng Liu ,  John Kender

IPC: G11B27/28 ,  H04B1/66 ,  H04N7/26 ,  H04N7/46

CPC classification number: G06F17/30843 ,  G11B27/28 ,  H04N19/115 ,  H04N19/132 ,  H04N19/136 ,  H04N19/137 ,  H04N19/423 ,  H04N19/587

Abstract: A technique for semantic video compression is shown in block (120). Uncompressed video data (210), including a plurality of video data segments (S1, S2, . . . Sn), are organized into two or more buffer slots (220), such that each of the two or more buffer slots is filled with one or more of the received video data segments, thereby forming two or more buffered video portions corresponding to the two or more buffer slots. The buffered video data is then processed by a leaking rule, to extract one or more buffered video portions, while outputting one or more non-extracted buffered video portions, as compressed video data (230). The leaking rule data is stored in a histogram (240) and later used to organize and index data according to a users request.

Abstract translation: 在框（120）中示出了语义视频压缩技术。 包括多个视频数据段（S1，S2，...，Sn）的未压缩视频数据（210）被组织成两个或更多个缓冲槽（220），使得两个或更多个缓冲槽中的每一个被填充 所接收的视频数据段中的一个或多个，从而形成对应于两个或多个缓冲槽的两个或多个缓冲视频部分。 缓冲的视频数据然后由泄漏规则处理，以便在输出一个或多个非提取的缓冲视频部分作为压缩视频数据（230）的同时提取一个或多个缓冲的视频部分。 泄漏规则数据存储在直方图（240）中，随后用于根据用户请求组织和索引数据。

公开(公告)号：US07277574B2

公开(公告)日：2007-10-02

申请号：US11169107

申请日：2005-06-27

Applicant: Yan Liu ,  John Kender

Inventor： Yan Liu ,  John Kender

IPC: G06K9/62

CPC classification number: G06K9/6228 ,  G06K9/6229 ,  Y10S707/99937

Abstract: Methods and systems for feature selection are described. In particular, methods and systems for feature selection for data classification, retrieval, and segmentation are described. Certain embodiments of the invention are directed to methods and systems for complement sort-merge tree (CSMT), fast-converging sort-merge tree (FSMT), and multi-level (ML) feature selection. Accurate and fast results may be obtained by the feature selection methods and systems described herein.

Abstract translation: 描述用于特征选择的方法和系统。 特别地，描述了用于数据分类，检索和分割的特征选择的方法和系统。 本发明的某些实施例涉及用于补码分类合并树（CSMT），快速聚合分类合并树（FSMT）和多级（ML）特征选择的方法和系统。 通过本文描述的特征选择方法和系统可以获得准确和快速的结果。

公开(公告)号：US20060133666A1

公开(公告)日：2006-06-22

申请号：US11169107

申请日：2005-06-27

Applicant: Yan Liu ,  John Kender

Inventor： Yan Liu ,  John Kender

IPC: G06K9/62 ,  G06K9/46

CPC classification number: G06K9/6228 ,  G06K9/6229 ,  Y10S707/99937

Abstract: Methods and systems for feature selection are described. In particular, methods and systems for feature selection for data classification, retrieval, and segmentation are described. Certain embodiments of the invention are directed to methods and systems for complement sort-merge tree (CSMT), fast-converging sort-merge tree (FSMT), and multi-level (ML) feature selection. Accurate and fast results may be obtained by the feature selection methods and systems described herein.

Abstract translation: 描述用于特征选择的方法和系统。 特别地，描述了用于数据分类，检索和分割的特征选择的方法和系统。 本发明的某些实施例涉及用于补码分类合并树（CSMT），快速聚合分类合并树（FSMT）和多级（ML）特征选择的方法和系统。 通过本文描述的特征选择方法和系统可以获得准确和快速的结果。