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Optimal configuration of hash table based multimedia fingerprint databases using weak bits

机译:使用弱位的基于哈希表的多媒体指纹数据库的最佳配置

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The increasingly large amount of digital multimedia content has created a need for technologies to search and identify multimedia files. Multimedia fingerprinting has been widely researched and successfully commercialized as a technology to trace and recognize both audio and video content. Most published research on multimedia fingerprinting focuses on the design of the fingerprinting extraction algorithm. The architecture of the fingerprinting database and the database query search algorithm has only been investigated in very few publications. In particular, no comprehensive mathematical models describing the accuracy of database query algorithms have been developed. Therefore, most performance evaluations of fingerprint system rely on experimental data. In this paper, we develop an analytic model to describe the operation of hash-table based multimedia fingerprinting databases. It allows to predict the accuracy of a fingerprinting query algorithm as a function of the statistical distribution of the fingerprints and the specific design of the fingerprint database.
机译:越来越多的数字多媒体内容导致了对搜索和识别多媒体文件的技术的需求。多媒体指纹技术已被广泛研究并成功商业化为一种跟踪和识别音频和视频内容的技术。关于多媒体指纹识别的大多数已发表的研究都集中在指纹提取算法的设计上。指纹数据库的体系结构和数据库查询搜索算法仅在很少的出版物中进行了研究。特别是,尚未开发出描述数据库查询算法准确性的综合数学模型。因此,指纹系统的大多数性能评估都依赖于实验数据。在本文中,我们建立了一个解析模型来描述基于哈希表的多媒体指纹数据库的操作。它允许根据指纹的统计分布和指纹数据库的特定设计来预测指纹查询算法的准确性。

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