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Efficient Graph Matching for Video Indexing

机译:视频索引的高效图匹配

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Traditionally graph algorithms have been of restricted use due to their exponential computational complexity in the general case. Recently a new class of graph algorithms for subgraph isomorphism detection has been proposed, one of these algorithms having quadratic time complexity. These new algorithms use a preprocessing step to allow rapid matching of an input graph against a database of model graphs. We present a new algorithm for largest common subgraph detection that provides a significant performance improvement over previous algorithms. This new algorithm is based on the work on preprocessed subgraph isomorphism detection by Messmer and Bunke [3].
机译:传统的图形算法由于在一般情况下的指数计算复杂性而受到限制使用。最近,提出了一种用于子图同构检测的新型图算法,这些算法之一具有二次时间复杂度。这些新算法使用预处理步骤,以使输入图与模型图数据库快速匹配。我们提出了一种用于最大公共子图检测的新算法,与以前的算法相比,该算法提供了显着的性能改进。这种新算法基于Messmer和Bunke [3]进行的预处理子图同构检测工作。

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