会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明申请
    • AUDIO-BASED CHAPTER DETECTION IN MULTIMEDIA STREAM
    • 基于音频的多媒体流检测
    • US20110235993A1
    • 2011-09-29
    • US12729378
    • 2010-03-23
    • Hong Zeng
    • Hong Zeng
    • H04N5/91H04N9/80
    • G11B27/28
    • A multimedia processing system identifies chapter breaks in a program represented by multimedia data through an analysis of audio content of a portion of the multimedia data so as to identify an interval that potentially represents a chapter break. This audio analysis can include an analysis to identify changes in high frequency edges in the audio content, an analysis to identify changes in the total energy in a central frequency band of the audio content, an analysis to identify patterns of sequentially repeating values in the audio content, an analysis to identify changes in bitrate, or some combination thereof. One or more variances in the audio information at (e.g., before) the start of the interval and the audio information at (e.g., after) the end of the interval then may be used to identify or otherwise characterize the interval as representing an actual chapter break. Further, a chapter represented by two consecutive chapter breaks can be identified as an advertisement based on the duration between the two consecutive chapter breaks and thus the multimedia processing device can implement a “commercial skip function” by omitting playback of the portion of the multimedia data representing the chapter responsive to the chapter being identified as an advertisement.
    • 多媒体处理系统通过对多媒体数据的一部分的音频内容的分析来识别由多媒体数据表示的节目中的章节断开,以便识别潜在地代表分章的间隔。 该音频分析可以包括用于识别音频内容中的高频边缘的变化的分析,用于识别音频内容的中心频带中的总能量的变化的分析,识别音频中顺序重复值的模式的分析 内容,识别比特率变化的分析,或其某些组合。 间隔开始时(例如,之前)和间隔结束处(例如,之后)的音频信息中的音频信息中的一个或多个方差可以用于识别或以其他方式表征间隔,以表示实际章节 打破。 此外,由两个连续的分节符表示的章节可以基于两个连续的章节间隔之间的持续时间被识别为广告,因此多媒体处理设备可以通过省略多媒体数据的一部分的重放来实现“商业跳过功能” 代表响应该章被确定为广告的章节。
    • 5. 发明授权
    • System and method for an implied alpha model and investor preferences
    • 隐含的α模型和投资者偏好的系统和方法
    • US08812390B1
    • 2014-08-19
    • US13537371
    • 2012-06-29
    • Hong Zeng
    • Hong Zeng
    • G06Q40/00
    • G06Q40/06
    • The instant invention relates generally to a group of computer-based methods preferably utilized in an implied alpha model and investor preferences to detect and address a preference drag problem. The computer-based method starts with an implied alpha model, which is derived from an existing portfolio. An implied alpha model can be treated as a preference aggregation when its factors represent investors' preferences on the portfolio. In this case, the model is also called an implied preference model. After an implied preference model is developed from a portfolio, a drag problem can be detected by checking whether the model has persistent and negative returns. If a drag problem exists in a portfolio, it can be solved by modifying the portfolio under assistance from the model.
    • 本发明一般涉及一组基于计算机的方法,优选地以隐含的α模型和投资者偏好来使用,以检测和解决偏好拖曳问题。 基于计算机的方法从隐含的α模型开始,该模型来自现有的投资组合。 当其因素代表投资者对投资组合的偏好时,隐含的α模型可以被视为偏好汇总。 在这种情况下,模型也称为默认偏好模型。 在从投资组合开发隐含偏好模型之后,可以通过检查模型是否具有持续回报和负回报来检测拖拽问题。 如果投资组合存在拖累问题,可以通过在模型的帮助下修改投资组合来解决。
    • 8. 发明授权
    • Audio-based chapter detection in multimedia stream
    • 多媒体流中基于音频的章检测
    • US08422859B2
    • 2013-04-16
    • US12729378
    • 2010-03-23
    • Hong Zeng
    • Hong Zeng
    • H04N9/80
    • G11B27/28
    • A multimedia processing system identifies chapter breaks in a program represented by multimedia data through an analysis of audio content of a portion of the multimedia data so as to identify an interval that potentially represents a chapter break. This audio analysis can include an analysis to identify changes in high frequency edges in the audio content, an analysis to identify changes in the total energy in a central frequency band of the audio content, an analysis to identify patterns of sequentially repeating values in the audio content, an analysis to identify changes in bitrate, or some combination thereof. One or more variances in the audio information at (e.g., before) the start of the interval and the audio information at (e.g., after) the end of the interval then may be used to identify or otherwise characterize the interval as representing an actual chapter break. Further, a chapter represented by two consecutive chapter breaks can be identified as an advertisement based on the duration between the two consecutive chapter breaks and thus the multimedia processing device can implement a “commercial skip function” by omitting playback of the portion of the multimedia data representing the chapter responsive to the chapter being identified as an advertisement.
    • 多媒体处理系统通过对多媒体数据的一部分的音频内容的分析来识别由多媒体数据表示的节目中的章节断开,以便识别潜在地代表分章的间隔。 该音频分析可以包括用于识别音频内容中的高频边缘的变化的分析,用于识别音频内容的中心频带中的总能量的变化的分析,识别音频中顺序重复值的模式的分析 内容,识别比特率变化的分析,或其某些组合。 间隔开始时(例如,之前)和间隔结束处(例如,之后)的音频信息中的音频信息中的一个或多个方差可用于识别或以其他方式表征间隔,以表示实际章节 打破。 此外,由两个连续的章节断开表示的章节可以基于两个连续的章节间隔之间的持续时间被识别为广告,并且因此多媒体处理设备可以通过省略表示多媒体数据的多媒体数据的一部分的重放来实现商业跳过功能 一章响应本章被确定为广告。