Method and system for minimizing client perceived latency through effective use of memory in video-on-demand clusters
    2.
    发明申请
    Method and system for minimizing client perceived latency through effective use of memory in video-on-demand clusters 审中-公开
    通过在视频点播集群中有效使用内存来最小化客户端感知延迟的方法和系统

    公开(公告)号:US20070239882A1

    公开(公告)日:2007-10-11

    申请号:US11400363

    申请日:2006-04-10

    Abstract: A method (and system) of transferring data of multimedia objects from servers to clients using memory in video-on-demand clusters, includes dividing multimedia objects into segments and independently serving and caching the segments on a plurality of servers, retrieving the segments from the servers, directing the client to the server that is responsible for serving the at least one of the segments using a redirection algorithm, and predicting a likely sequence of segments that will be requested by the client and prefetching data from a next segment in the likely sequence of segments and loading the next segment into memory within one of the plurality of servers.

    Abstract translation: 一种利用视频点播群集中的存储器将多媒体对象的数据从服务器传送到客户端的方法(和系统),包括将多媒体对象划分成多个段,并独立地在多个服务器上服务和缓存段,从 服务器,使用重定向算法将客户端引导到负责服务该段至少一个段的服务器,以及预测客户端请求的段的可能序列,并从可能序列中的下一个段预取数据 并将下一段加载到多个服务器之一内的存储器中。

    Resource adaptive spectrum estimation of streaming data
    3.
    发明申请
    Resource adaptive spectrum estimation of streaming data 有权
    流数据资源自适应频谱估计

    公开(公告)号:US20070223598A1

    公开(公告)日:2007-09-27

    申请号:US11389344

    申请日:2006-03-24

    CPC classification number: G06F17/141

    Abstract: Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even more accentuated in mobile environments (such as sensor networks) where computational and memory resources are typically limited. Introduced herein is a novel “resource adaptive” algorithm for spectrum and periodicity estimation on a continuous stream of data. The formulation is based on the derivation of a closed-form incremental computation of the spectrum, augmented by an intelligent load-shedding scheme that can adapt to available CPU resources. Experimentation indicates that the proposed technique can be a viable and resource efficient solution for real-time spectrum estimation.

    Abstract translation: 流环境通常会指示不完整或近似算法执行,以应对数据速率的突然增加。 在计算和存储资源通常受限制的移动环境(如传感器网络)中,这种限制更加突出。 这里介绍的是一种用于连续数据流的频谱和周期估计的新型“资源自适应”算法。 该公式基于频谱的闭合增量计算的推导,通过可以适应可用CPU资源的智能加载开放方案来增强。 实验表明,提出的技术可以成为实时频谱估计的可行且资源有效的解决方案。

    Morphological significance map coding using joint spatio-temporal prediction for 3-d overcomplete wavelet video coding framework
    4.
    发明申请
    Morphological significance map coding using joint spatio-temporal prediction for 3-d overcomplete wavelet video coding framework 审中-公开
    使用联合时空预测三维不完整小波视频编码框架的形态意义图编码

    公开(公告)号:US20070031052A1

    公开(公告)日:2007-02-08

    申请号:US10573550

    申请日:2004-09-24

    Abstract: A system and method is provided for digitally encoding video signals within an overcomplete wavelet video coder. A video coding algorithm unit locates significant wavelet coefficients in a first video frame and temporally predicts location information for significant wavelet coefficients in a second video frame using motion information. The video coding algorithm unit is also capable of receiving and using spatial prediction information from spatial parents of the second video frame. The invention combines temporal prediction with spatial prediction to obtain a joint spatio-temporal prediction. The invention also establishes an order for encoding clusters of significant wavelet coefficients. The invention increases coding efficiency and provides an increased quality of decoded video.

    Abstract translation: 提供了一种用于在不完整的小波视频编码器内对视频信号进行数字编码的系统和方法。 视频编码算法单元在第一视频帧中定位有效的小波系数,并且使用运动信息在时间上预测第二视频帧中的有效小波系数的位置信息。 视频编码算法单元还能够从第二视频帧的空间父节点接收和使用空间预测信息。 本发明将时间预测与空间预测相结合以获得联合时空预测。 本发明还建立了对有重要小波系数的簇进行编码的顺序。 本发明提高了编码效率,提供了解码视频的提高质量。

    Identifying inconsistencies in object similarities from multiple information sources
    5.
    发明授权
    Identifying inconsistencies in object similarities from multiple information sources 有权
    识别来自多个信息源的对象相似性的不一致

    公开(公告)号:US08572107B2

    公开(公告)日:2013-10-29

    申请号:US13316178

    申请日:2011-12-09

    CPC classification number: G06F17/30598 G11B27/32

    Abstract: A horizontal anomaly detection method includes receiving at plurality of objects described in a plurality of information sources, wherein each individual information source captures a plurality of similarity relationships between the objects, combining the information sources to determine a similarity matrix whose entries represent quantitative scores of similarity between pairs of the objects, and identifying at least one horizontal anomaly of the objects within the similarity matrix, wherein the horizontal anomalies are anomalous relationships across the plurality of information sources.

    Abstract translation: 水平异常检测方法包括在多个信息源中描述的多个对象处接收,其中每个单独的信息源捕获对象之间的多个相似关系,组合信息源以确定其条目表示相似度的定量分数的相似性矩阵 在所述对象之间,并且识别所述相似性矩阵内的对象的至少一个水平异常,其中所述水平异常是所述多个信息源之间的异常关系。

    System and method for providing video content and concealment dependent error protection and scheduling algorithms
    6.
    发明申请
    System and method for providing video content and concealment dependent error protection and scheduling algorithms 审中-公开
    用于提供视频内容和隐藏依赖的错误保护和调度算法的系统和方法

    公开(公告)号:US20070053445A1

    公开(公告)日:2007-03-08

    申请号:US10573081

    申请日:2004-09-21

    Abstract: A system and method is provided for adaptively changing as error protection strategy for a digital video transmission depending upon the characteristics of a transmission channel (120). A video classification processor (210) located in a video encoder (114) analyzes a video sequence and (1) determines priority classes for video data packets based on objective criteria, and (2) determines sequence dependent features of the video sequence, and (3) classifies the video data packets in sub-priorities based on the sequence dependent features of the video sequence. The system can also re-classify video data packet priorities based on objective criteria using either the sequence dependent features of the video sequence or an error concealment algorithm.

    Abstract translation: 提供一种系统和方法,用于根据传输信道(120)的特性自适应地改变为用于数字视频传输的错误保护策略。 位于视频编码器(114)中的视频分类处理器(210)分析视频序列,(1)基于客观标准确定视频数据分组的优先等级,以及(2)确定视频序列的序列相关特征, 3)基于视频序列的依赖于相关特征的子优先级对视频数据分组进行分类。 该系统还可以使用视频序列的序列相关特征或错误隐藏算法,基于客观标准来重新分类视频数据分组优先级。

    Content-adaptive multiple description motion compensation for improved efficiency and error resilience
    7.
    发明申请
    Content-adaptive multiple description motion compensation for improved efficiency and error resilience 审中-公开
    内容自适应多描述运动补偿,以提高效率和错误弹性

    公开(公告)号:US20060256867A1

    公开(公告)日:2006-11-16

    申请号:US10526861

    申请日:2003-08-29

    CPC classification number: H04N19/577 H04N19/39 H04N19/65 H04N19/89

    Abstract: A multiple description coding method is applied to video, and optimized to preclude transmission to the decoder of mismatch correction information that applies to portions of a frame outside a region of interest. Additional bit efficiency is realized by selectively updating, based on video content, the weighting of prediction frames motion compensated from corresponding frames used in estimating a current frame. Frequency of update is adaptively determined based on the realized increased accuracy of prediction and concomitant residual image bit savings as compared, in tradeoff, with the need to more frequently transmit the updated weights to the receiver.

    Abstract translation: 将多重描述编码方法应用于视频,并且被优化以排除适用于感兴趣区域外的帧的部分的不匹配校正信息的解码器的传输。 通过基于视频内容选择性地更新从用于估计当前帧的相应帧中补偿的预测帧的加权来实现额外的比特效率。 相比之下,基于实现的增加的预测精度和伴随的残留图像比特节省来自适应地确定更新频率,在折衷中,需要更频繁地将更新的权重发送到接收机。

    Method and apparatus for performing multiple description motion compensation using hybrid predictive codes
    8.
    发明申请
    Method and apparatus for performing multiple description motion compensation using hybrid predictive codes 审中-公开
    使用混合预测码执行多描述运动补偿的方法和装置

    公开(公告)号:US20060093031A1

    公开(公告)日:2006-05-04

    申请号:US10523434

    申请日:2003-07-24

    CPC classification number: H04N19/61

    Abstract: An improved multiple description coding (MDC) method and apparatus is provided which extends multi-description motion compensation (MDMC) by allowing for multi-frame prediction and is not limited to only I and P frames. Further, the coding method of the invention extends MDMC for use with any conventional predictive codec, such as, for example, MPEG2/4 and H.26L. The improved MDC permits the use of any conventional predictive coder for use as a top and bottom predictive encoder. Further, the top and bottom predictive coders can advantageously include B-frames and multiple prediction motion compensation. Still further, any of the top, middle and bottom predictive encoders can be a scalable encoder (e.g., FGS-like or data-partitioning like where the motion vectors (MVs) are sent first, temporal scalability etc.).

    Abstract translation: 提供了一种改进的多描述编码(MDC)方法和装置,其通过允许多帧预测来扩展多描述运动补偿(MDMC),并且不限于仅I帧和P帧。 此外,本发明的编码方法扩展了MDMC以用于任何常规的预测编解码器,例如MPEG2 / 4和H.26L。 改进的MDC允许使用任何常规的预测编码器用作顶部和底部预测编码器。 此外,顶部和底部预测编码器可以有利地包括B帧和多个预测运动补偿。 另外,顶部,中间和底部预测编码器中的任何一个可以是可伸缩的编码器(例如,像运动矢量(MV)首先被发送,时间可伸缩性等那样的类似FGS或数据分区)。

    QUANTIZING FEATURE VECTORS IN DECISION-MAKING APPLICATIONS
    9.
    发明申请
    QUANTIZING FEATURE VECTORS IN DECISION-MAKING APPLICATIONS 失效
    在决策应用中的量化特征向量

    公开(公告)号:US20070265848A1

    公开(公告)日:2007-11-15

    申请号:US11383199

    申请日:2006-05-13

    CPC classification number: G10L17/06

    Abstract: A system, method and computer program product for classification of an analog electrical signal using statistical models of training data. A technique is described to quantize the analog electrical signal in a manner which maximizes the compression of the signal while simultaneously minimizing the diminution in the ability to classify the compressed signal. These goals are achieved by utilizing a quantizer designed to minimize the loss in a power of the log-likelihood ratio. A further technique is described to enhance the quantization process by optimally allocating a number of bits for each dimension of the quantized feature vector subject to a maximum number of bits available across all dimensions.

    Abstract translation: 一种使用训练数据的统计模型对模拟电信号进行分类的系统,方法和计算机程序产品。 描述了一种技术来以使信号压缩最大化的方式对模拟电信号进行量化,同时最小化对压缩信号进行分类的能力的减小。 这些目标通过利用设计用于最小化对数似然比的功率损失的量化器来实现。 描述了另一种技术,以通过对经过所有维度可用的最大位数的量化特征向量的每个维度最佳地分配位数来增强量化过程。

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