On the filtering of imperfect multimedia information by means of representation-based queries

P. Bosc, L. Duval, O. Pivert
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Abstract

The issue of handling imperfect information in a multimedia database system is addressed. The issue of filtering imperfect information appears to be especially crucial in the context of a multimedia system since multimedia data are very often uncertain and/or imprecise. This work is mainly situated in the framework of the possibility theory-based approach which proves to be best suited to qualitative modeling of imprecision/uncertainty when the imperfection pervading the data is of a subjective nature. In the new approach a condition relates to the representation of values, and, as such, returns a satisfaction degree which is certain.
基于表示的查询对不完美多媒体信息的过滤
讨论了多媒体数据库系统中不完全信息的处理问题。在多媒体系统中,过滤不完全信息的问题似乎特别重要,因为多媒体数据常常是不确定和(或)不精确的。这项工作主要是在基于可能性理论的方法框架内进行的,这种方法被证明最适合于不精确/不确定性的定性建模,当数据的不完全性是主观的。在新的方法中,一个条件与值的表示有关,因此,返回一个确定的满意程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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