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    • 82. 发明申请
    • Region clustering based error concealment for video data
    • 基于区域聚类的视频数据错误隐藏
    • US20070086527A1
    • 2007-04-19
    • US11254166
    • 2005-10-19
    • Yong Yan
    • Yong Yan
    • H04N11/04H04B1/66
    • H04N19/61H04N19/895
    • An error detection and correction circuit for a video decoder that reconstructs a lost macroblock including a clustering circuit, a classification circuit and an error concealment circuit. The clustering circuit clusters macroblocks adjacent to the lost macroblock into one or more defined clusters. The classification circuit assigns the lost macroblock or each sub-block of the lost macroblock to a defined cluster. The error concealment circuit reconstructs attributes of the lost macroblock or its sub-block based on selected attributes of a defined cluster to which the lost block is assigned. Clustering is based on entire adjacent macroblocks or sub-blocks thereof. The clustering circuit may perform clustering using any one or more of the attributes of the macroblocks including coding parameters, texture statistics, color components, frequency analysis, and image processing operators. The lost macroblock may be assigned as a whole or subdivided into lost sub-blocks that are individually assigned to clusters.
    • 一种用于重构包括聚类电路,分类电路和错误隐藏电路的丢失宏块的视频解码器的错误检测和校正电路。 聚类电路将与丢失宏块相邻的宏块聚类成一个或多个定义的集群。 分类电路将丢失的宏块或每个子块分配给定义的簇。 错误隐藏电路根据所分配的丢失块的所定义的集群的选定属性来重构丢失宏块或其子块的属性。 聚类基于整个相邻宏块或其子块。 聚类电路可以使用包括编码参数,纹理统计,颜色分量,频率分析和图像处理算子的宏块的任何一个或多个属性来执行聚类。 丢失的宏块可以被分配为整体或细分为分散分配给簇的丢失子块。
    • 88. 发明授权
    • Region-based image archiving and retrieving system
    • 基于区域的图像归档和检索系统
    • US06502105B1
    • 2002-12-31
    • US09232896
    • 1999-01-15
    • Yong YanCedric Y. CaronKiran Challapali
    • Yong YanCedric Y. CaronKiran Challapali
    • G06F1700
    • G06F17/30259Y10S707/99945Y10S707/99948
    • The system disclosed herein builds a database of image-related data by inputting a plurality of images, and for each image: dividing the image into N1 (N1≧1) regions which are substantially homogenous with respect to at least one attribute of the image, generating a graph based on M1 (M1≧1) of the N1 regions, and storing data for the graph in the database. The database may then be used to determine whether a query image is similar to one or more of the plurality of images. To this end, the system inputs the query image, and divides the query image into N2 (N2≧1) regions which are substantially homogenous with respect to at least one attribute of the query image. The system then generates a graph based on M2 (M2≧1) of the N2 regions, and compares the generated graph to other graphs in the database that correspond to the plurality of images. Thereafter, an image is retrieved from memory that has a graph that is substantially similar to the generated graph.
    • 本文所公开的系统通过输入多个图像构建图像相关数据的数据库,并且对于每个图像:将图像分割成相对于图像的至少一个属性基本均匀的N1(N1> = 1)个区域 生成基于N1区域的M1(M1> = 1)的图形,并将图形的数据存储在数据库中。 然后可以使用数据库来确定查询图像是否类似于多个图像中的一个或多个。 为此,系统输入查询图像,并将查询图像划分成相对于查询图像的至少一个属性基本均匀的N2(N2> = 1)区域。 然后,该系统基于N2区域的M2(M2> = 1)生成图形,并且将生成的图形与数据库中对应于多个图像的其他图形进行比较。 此后,从具有基本上类似于生成的图形的图形的存储器中检索图像。