Multi-Level Skimming of Multimedia Content Using Playlists
    13.
    发明申请
    Multi-Level Skimming of Multimedia Content Using Playlists 有权
    使用播放列表对多媒体内容进行多级翻译

    公开(公告)号:US20060147018A1

    公开(公告)日:2006-07-06

    申请号:US11276424

    申请日:2006-02-28

    IPC分类号: H04M3/42

    摘要: A skimmed or preview version of multimedia content is provided to a client computer by a server computer using playlists. The skimmed version of multimedia content can be presented to a user of a client computer in less time than presenting the entire multimedia content would require. The server computer maintains skimming information that identifies particular segments of the multimedia content corresponding to the skimmed version. The server computer uses the skimming information to generate a playlist, which in turn is used by the server computer to access the appropriate segments of the multimedia content and provide the segments to the client computer.

    摘要翻译: 由服务器计算机使用播放列表向客户端计算机提供多媒体内容的撇去或预览版本。 可以在比呈现整个多媒体内容所需的时间更短的时间内将多媒体内容的撇掉版本呈现给客户端计算机的用户。 服务器计算机维护识别与撇去版本对应的多媒体内容的特定段的撇号信息。 服务器计算机使用撇号信息来生成播放列表,该播放列表又由服务器计算机使用以访问多媒体内容的适当段,并将该片段提供给客户端计算机。

    Multimedia summary generation employing user feedback
    16.
    发明授权
    Multimedia summary generation employing user feedback 失效
    使用用户反馈的多媒体摘要生成

    公开(公告)号:US06557042B1

    公开(公告)日:2003-04-29

    申请号:US09273296

    申请日:1999-03-19

    申请人: Li-Wei He Anoop Gupta

    发明人: Li-Wei He Anoop Gupta

    IPC分类号: G06F1516

    摘要: A multimedia server computer or other device can provide multimedia content, as well as summaries of the multimedia content, to one or more client computers. Each of the users of a client computer is identified as being part of a particular group and summaries are generated for each group. Each summary includes those portions of the multimedia content that are most interesting to previous users of the corresponding group.

    摘要翻译: 多媒体服务器计算机或其他设备可以向一个或多个客户端计算机提供多媒体内容以及多媒体内容的摘要。 客户端计算机的每个用户被标识为特定组的一部分,并为每个组生成摘要。 每个摘要包括对相应组的先前用户最有趣的多媒体内容的那些部分。

    Distributed data storage using erasure resilient coding
    17.
    发明授权
    Distributed data storage using erasure resilient coding 有权
    使用擦除弹性编码的分布式数据存储

    公开(公告)号:US08051362B2

    公开(公告)日:2011-11-01

    申请号:US11763891

    申请日:2007-06-15

    IPC分类号: H03M13/00

    CPC分类号: G06F11/1076 G06F2211/1028

    摘要: An erasure resilient coding (ERC) distributed data storage system and method for storing data in a reliable and survivable fashion while minimizing hardware and associated costs. The system and method includes forming multiple protection groups both within and across storage nodes of the storage system. Data is segmented into original data blocks and ERC data blocks. Load balancing occurs by interleaving storage nodes with equal numbers of original data blocks and ERC data blocks while ensuring each node has an equal number of combined read and write operations. Unique read and write operations on data block can be performed independent of other data blocks in a protection group. The write operation uses Galois field arithmetic and ERC transform to either write or append a new data block to a storage node. The read operation recovers data in a variety of ways using ERC decoding.

    摘要翻译: 一种擦除弹性编码(ERC)分布式数据存储系统和方法,用于以可靠和可行的方式存储数据,同时最小化硬件和相关成本。 该系统和方法包括在存储系统的存储节点内部和之间形成多个保护组。 数据被分割成原始数据块和ERC数据块。 通过在具有相等数量的原始数据块和ERC数据块的交织存储节点的同时确保每个节点具有相等数目的组合读和写操作来实现负载平衡。 可以独立于保护组中的其他数据块执行对数据块的独特读写操作。 写操作使用伽罗瓦域算术和ERC变换来向存储节点写入或附加新的数据块。 读取操作使用ERC解码以各种方式恢复数据。

    DISTRIBUTED NON-NEGATIVE MATRIX FACTORIZATION
    18.
    发明申请
    DISTRIBUTED NON-NEGATIVE MATRIX FACTORIZATION 有权
    分布式非负矩阵法

    公开(公告)号:US20110246573A1

    公开(公告)日:2011-10-06

    申请号:US12750772

    申请日:2010-03-31

    IPC分类号: G06F15/16

    CPC分类号: G06F17/16

    摘要: Architecture that scales up the non-negative matrix factorization (NMF) technique to a distributed NMF (denoted DNMF) to handle large matrices, for example, on a web scale that can include millions and billions of data points. To analyze web-scale data, DNMF is applied through parallelism on distributed computer clusters, for example, with thousands of machines. In order to maximize the parallelism and data locality, matrices are partitioned in the short dimension. The probabilistic DNMF can employ not only Gaussian and Poisson NMF techniques, but also exponential NMF for modeling web dyadic data (e.g., dwell time of a user on browsed web pages).

    摘要翻译: 将非负矩阵分解(NMF)技术扩展到分布式NMF(表示为DNMF)以处理大型矩阵的架构,例如,可以包括数百万和数十亿个数据点的网络规模。 为了分析网络规模数据,DNMF通过并行性应用于分布式计算机集群,例如数千台机器。 为了最大化并行度和数据局部性,矩阵在短维中被划分。 概率DNMF不仅可以采用高斯和泊松NMF技术,还可以采用指数NMF来建模网络二进制数据(例如,用户在浏览的网页上的停留时间)。

    REAL-TIME JITTER CONTROL AND PACKET-LOSS CONCEALMENT IN AN AUDIO SIGNAL
    19.
    发明申请
    REAL-TIME JITTER CONTROL AND PACKET-LOSS CONCEALMENT IN AN AUDIO SIGNAL 审中-公开
    音频信号中的实时抖动控制和分组丢失隐藏

    公开(公告)号:US20090304032A1

    公开(公告)日:2009-12-10

    申请号:US12542558

    申请日:2009-08-17

    IPC分类号: H04J3/06

    摘要: An “adaptive audio playback controller” operates by decoding and reading received packets of an audio signal into a signal buffer. Samples of the decoded audio signal are then played out of the signal buffer according to the needs of a player device. Jitter control and packet loss concealment are accomplished by continuously analyzing buffer content in real-time, and determining whether to provide unmodified playback from the buffer contents, whether to compress buffer content, stretch buffer content, or whether to provide for packet loss concealment for overly delayed or lost packets as a function of buffer content. Further, the adaptive audio playback controller also determines where to stretch or compress particular frames or signal segments in the signal buffer, and how much to stretch or compress such segments in order to optimize perceived playback quality.

    摘要翻译: “自适应音频播放控制器”通过将音频信号的接收分组解码并读取到信号缓冲器来进行操作。 然后根据播放器设备的需要从信号缓冲器中播放经解码的音频信号的样本。 抖动控制和分组丢失隐藏是通过实时连续分析缓冲区内容来实现的,并且确定是否从缓冲器内容中提供未修改的重放,是否压缩缓冲区内容,扩展缓冲区内容,还是提供丢包隐藏 延迟或丢失的数据包作为缓冲区内容的函数。 此外,自适应音频重放控制器还确定在哪里拉伸或压缩信号缓冲器中的特定帧或信号段,以及拉伸或压缩这些段以便优化感知的播放质量。