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    • 31. 发明授权
    • Associating interest and disinterest keywords with similar and dissimilar users
    • 将兴趣和不感兴趣的关键字与类似和不同的用户相关联
    • US09031951B1
    • 2015-05-12
    • US13437572
    • 2012-04-02
    • Shumeet BalujaMichele CovellRohan Seth
    • Shumeet BalujaMichele CovellRohan Seth
    • G06F7/00G06F17/30
    • G06F17/30861G06F17/30035
    • Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for propagating labels. The method comprises determining a set of labels to be associated with users of a social network, the labels including one or more designators for specifying areas of interest and areas of disinterest for a user. The method further comprises associating nodes in a graph representing the social network, where the users are represented by user nodes in the graph, and determining that a user is similar or dissimilar to another user in the social network. The method further comprises determining weights for the labels, each weight reflecting a magnitude of a contribution of an associated label to a characterization of the respective node, and propagating labels to other nodes that are related to the respective node by a relationship, including propagating labels in accordance with the determined similarity or dissimilarity.
    • 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,包括传播标签的方法。 所述方法包括确定要与社交网络的用户相关联的一组标签,所述标签包括用于指定感兴趣区域和用户不感兴趣区域的一个或多个指示符。 该方法还包括将表示社交网络的图中的节点相关联,其中用户由图中的用户节点表示,并且确定用户与社交网络中的另一用户相似或不相似。 所述方法还包括确定所述标签的权重,每个权重反映相关标签对相应节点的表征的贡献的大小,以及通过关系将标签传播到与相应节点相关的其他节点,包括传播标签 根据确定的相似性或不相似性。
    • 33. 发明授权
    • Clustering queries for image search
    • 对图像搜索进行聚类查询
    • US08745059B1
    • 2014-06-03
    • US13482343
    • 2012-05-29
    • Yushi JingMichele CovellStephen Conor Holiday
    • Yushi JingMichele CovellStephen Conor Holiday
    • G06F17/30G06F15/16
    • G06F17/30598G06F17/30256G06F17/3028G06F17/3053
    • Aspects of the subject matter described herein relate to functions used for retrieving image results based on search queries. More specifically, image search queries can be pre-grouped or classified based on visual and semantic similarity. For example, a pairwise image similarity value for a pair of queries can be computed based on one or more of the sum of all of the overlapping the image results, the sum of the image distances between all of the pairs of images in the image results, and the rank of each of the images in the image results. The pairwise image similarity values can then be used to generate image query clusters. Each image query clusters can include a set of queries with high pairwise image similarity values. In some examples, a distance function can be determined for each image query cluster. This data can be used to provide image results.
    • 本文描述的主题的方面涉及用于基于搜索查询来检索图像结果的功能。 更具体地,可以基于视觉和语义相似性对图像搜索查询进行预分组或分类。 例如,可以基于图像结果重叠的全部和之和中的一个或多个来计算一对查询的成对图像相似度值,图像结果中所有图像对之间的图像距离之和 ,以及图像中每个图像的等级。 然后可以使用成对图像相似度值来生成图像查询簇。 每个图像查询群集可以包括具有高成对图像相似度值的一组查询。 在一些示例中,可以为每个图像查询簇确定距离函数。 该数据可用于提供图像结果。
    • 34. 发明授权
    • Large-scale matching of audio and video
    • 音频和视频的大规模匹配
    • US08625033B1
    • 2014-01-07
    • US12697880
    • 2010-02-01
    • David MarwoodDaniel KeysersRichard TuckerGheorghe PostelnicuMichele Covell
    • David MarwoodDaniel KeysersRichard TuckerGheorghe PostelnicuMichele Covell
    • H04N5/14
    • Large-scale matching of videos is performed by matching a set of probe videos against a set of reference videos to determine if they are visually and/or aurally similar. The visual and audio fingerprints of all probe videos and reference videos are divided into subfingerprints, which are divided into LSH bands. The LSH bands of the probe videos are sorted in one list, and the LSH bands of the reference videos are sorted in another list. Then, the two sorted lists are linearly scanned for matching LSH bands. The matching LSH bands are sorted by probe video ID, and each probe video ID is searched to find matches between probe videos and reference videos. Further, an incremental matching process identifies matches as groups of new probe videos and/or new reference videos are added, without unnecessary repetition of matching old probe videos against old reference videos.
    • 通过将一组探测视频与一组参考视频相匹配来进行视频的大规模匹配,以确定它们是否在视觉上和/或听觉上相似。 所有探测视频和参考视频的视觉和音频指纹分为子指纹,分为LSH频段。 探测视频的LSH频带在一个列表中排序,参考视频的LSH频带在另一个列表中排序。 然后,对两个排序列表进行线性扫描以获得匹配的LSH频带。 匹配的LSH频带按照探测视频ID进行排序,并且搜索每个探测视频ID以找到探测视频和参考视频之间的匹配。 此外,增量匹配过程将匹配作为新的探测视频组和/或新参考视频添加,而不必对旧的参考视频进行不必要的重复匹配的旧探测视频。
    • 35. 发明授权
    • Image compression using exemplar dictionary based on hierarchical clustering
    • 使用基于层次聚类的示范字典的图像压缩
    • US08515193B1
    • 2013-08-20
    • US13083493
    • 2011-04-08
    • Mei HanMichele CovellSaurabh MathurShumeet BalujaVivek Kwatra
    • Mei HanMichele CovellSaurabh MathurShumeet BalujaVivek Kwatra
    • G06K9/36
    • G06K9/6219G06K9/6807H04N19/30H04N19/90
    • An exemplar dictionary is built from example image blocks for determining predictor blocks for encoding and decoding images. The exemplar dictionary comprises a hierarchical organization of example image blocks. The hierarchical organization of image blocks is obtained by clustering a set of example image blocks, for example, based on k-means clustering. Performance of clustering is improved by transforming feature vectors representing the image blocks to fewer dimensions. Principal component analysis is used for determining feature vectors with fewer dimensions. The clustering performed at higher levels of the hierarchy uses fewer dimensions of feature vectors compared to lower levels of hierarchy. Performance of clustering is improved by processing only a sample of the image blocks of a cluster. The clustering performed at higher levels of the hierarchy uses lower sampling rates as compared to lower levels of hierarchy.
    • 从用于确定用于对图像进行编码和解码的预测器块的示例图像块构建示范字典。 示例性字典包括示例图像块的分级组织。 通过例如基于k均值聚类来聚类一组示例图像块来获得图像块的分级组织。 通过将表示图像块的特征向量变换为较少的维度来提高聚类的性能。 主成分分析用于确定尺寸较小的特征向量。 在层次较高的层次上执行的聚类与较低级别的层次相比,使用较少的特征向量维度。 通过仅处理集群的图像块的样本来提高聚类的性能。 与较低级别的层次相比,在较高层次上执行的聚类使用较低的采样率。
    • 37. 发明授权
    • Variable rate video playback with synchronized audio
    • 具有同步音频的可变速率视频播放
    • US08238722B2
    • 2012-08-07
    • US12264414
    • 2008-11-04
    • Neal A. BhadkamkarSubutai AhmadMichele Covell
    • Neal A. BhadkamkarSubutai AhmadMichele Covell
    • G11B27/00
    • G11B27/10G11B27/34G11B33/10H04N5/04H04N5/4401H04N5/602H04N5/783H04N21/4307H04N21/4341H04N21/439H04N21/47217
    • The invention enables the apparent display rate of an audiovisual display to be varied. The invention can modify an original set of audio data in accordance with a target display rate, then modify a related original set of video data to conform to the modifications made to the audio data set, such that the modified audio and video data sets are synchronized. When the modified audio and video data sets so produced are used to generate an audiovisual display, the audiovisual display has an apparent display rate that approximates the target display rate. The target display rate can be faster or slower than a normal display rate at which an audiovisual display system generates an audiovisual display from the original sets of audio and video data. The target display rate can be established solely by a user instruction, by analysis of the audiovisual data, or by modification of a user-specified nominal target display rate based upon analysis of the audiovisual data. Preferably, the method for modifying the original audio data set is one that produces a modified audio data set that can be used to generate an audio display having little or no distortion.
    • 本发明能够改变视听显示器的显示速度。 本发明可以根据目标显示速率修改原始的一组音频数据,然后修改相关的原始视频数据集合以符合对音频数据集的修改,使得修改的音频和视频数据组被同步 。 当这样产生的经过修改的音频和视频数据组被用于产生视听显示时,视听显示具有近似于目标显示速率的明显的显示速率。 目标显示速率可以比视听显示系统从原始音频和视频数据组生成视听显示的正常显示速率更快或更慢。 目标显示速率可以仅通过用户指令,视听数据的分析,或者通过基于视听数据的分析修改用户指定的标称目标显示速率来建立。 优选地,用于修改原始音频数据集的方法是产生可用于生成具有很少或没有失真的音频显示的修改的音频数据集的方法。