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首页> 外文会议>Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09 >Architecture for semi-automatic multimedia analysis by hypothesis reinforcement
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Architecture for semi-automatic multimedia analysis by hypothesis reinforcement

机译：通过假设强化进行半自动多媒体分析的体系结构

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摘要

The digitalization of the audiovisual production chain has introduced new opportunities and challenges in the asset management workflow. The huge amount of accesible content requieres new annotation and indexing paradigms that overcome the current limitations in terms of resources and level of detail. A novel approach to improve and automatize professional Media Asset Management systems is proposed in this paper. Our proposed architecture enhances the metadata with new objective concepts that can be ported to the semantic level and can also used through ldquoquery by samplerdquo methods. Moreover, the implicit and explicit knowledge about a certain domain can be introduced in the system with a combination of classifiers and a semantic middleware. Last, the system can be replicated in different domains and combined via an initial hypothesis, allowing the scalability of the system to multiple content domains.
机译：视听生产链的数字化为资产管理工作流程带来了新的机遇和挑战。大量可访问的内容需要新的注释和索引范式，以克服当前在资源和详细程度方面的限制。本文提出了一种改进和自动化专业媒体资产管理系统的新颖方法。我们提出的体系结构通过新的客观概念增强了元数据，这些新的客观概念可以移植到语义级别，也可以通过ldquoquery通过samplerdquo方法使用。此外，可以结合分类器和语义中间件在系统中引入有关某个领域的隐式和显式知识。最后，系统可以在不同的域中复制，并可以通过初始假设进行组合，从而使系统可扩展到多个内容域。

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