丰富基于与用户关联交互的语义元数据

A. Peregudov, K. Glasman
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引用次数: 2

摘要

万维网上提供了越来越多的视听信息。有越来越多的广播频道可用。在这种情况下。为了获得竞争优势,企业必须向知识的收集和管理迈进。所有类型的信息,包括电影和电视节目。语义元数据对于用户来说是最有价值的。S获取知识。它通常是由专业分析师在劳动密集型活动中创建的。提出了一种包含情感元数据的语义元数据的生成方法。它是ba。浅谈用户对虚拟内容的评价。内容存储库和用户关联之间的协作交互导致协作元数据的丰富。该方法的主要特点是:随着时间的推移,不断地评估用户与不同背景的关联。教育与动机:在dilf;rent尺度上对视听事件不同属性的评价。通过实验验证了该方法的有效性。在当前的论文中。这些实验的目的是评估电影事件所产生的情感张力,并选择这些事件的关键游戏。统计证明的结果是,如果这些实验证实了从儿童到成人的不同年龄,以及不同的背景,教育程度和积极性可以在不同的尺度上表明情绪紧张。,或信息属性,对兴趣的程度和不可预测的,戏剧性的结局。在这些实验结果的基础上做出的5到10个形状看起来像是赚了1到5美元的形状。siona1分析师。然而,用户的pmJ之间有规律的依赖关系。对S及其偏好进行检测。这意味着该方法可以有效地为不同类型的电视观众和互联网用户创建不同类型的摘要。视听内容,元数据充实,语义元数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enrichment of semantic metadata based on interactions with user associations
More and more aitdio-visual injormatiun is available on the World Wide Web. There is an increasing amount of broadcast channeb available. In such a situation. to attoin a competitive advantage, contenl ~ e p o ~ i t < ~ t k ~ must progress to collecting and managing knowledge abort! all @pes of injbrmation including films and TV programs. Semantic metadata is the most valuable one for the user who want.s to get knowledge. I t is usuall,v created by a professional analyst in the labor-intensive activiy. A new approach to the creation of semantic metadata inchiding affective one is sugge.sted. It is ba.sed on the collection of use‘s ’ evahtation of aiidiovisual content. A cooperative interaction of a content repositop and users associations resnlts in the cooperative metadata enrichment. The main features of this method are: continuous evaluation in the course of time made hy users msociations with varying background. education and motivation: evaluation of different attributes of audiovisual events on dilf.;rent scales. Experiments were carried out to examine the approach sirgge.sted in the ciirrent paper. The aim of these experiments was to evaluate the emotional tension created bv ,fiattire films ’ events and to select keyfi-ames ofthese events. The statistically proven reszilts .f‘ these experiments confirmed that itset..s with d;jfkrent age f rom children to adults) and vanCng background, education and mativattoti can indicate emotional tension on different scales (scales based on coniple.rit?, or informational attvilurtes, on the degrees of interest and un1iredictabilih, of dramatic ewent.~). The s t o p shapes made on the basis of these e.yperimenta1 results look like ones made l ~ y profi.s.siona1 analysts. However regular dependences between users ’ pmJ;Ie.s and their prefi.rence.s were detected. It means that this method can he used to gficientlv create dif/^erent types of summaries for dljfkrent ypes of TV viewers and the Internet use.’. Index Terms Audiovisual content, metadata enrichment, semantic metadata.
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