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首页> 外文期刊>Fractals: An interdisciplinary journal on the complex geometry of nature >Concept retrieval based on a combination of fractal coding, fuzzy rule based system and SVM
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Concept retrieval based on a combination of fractal coding, fuzzy rule based system and SVM

机译：基于分形编码，基于模糊规则的系统和支持向量机相结合的概念检索

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摘要

Most information retrieval systems make indirect use of human knowledge in their retrieval process. The new method we present here aims to efficiently use human knowledge directly in combination with fractal coding and support vector machine (SVM) for clustering. As illustrated in this paper, this approach is particularly applicable to soccer concept retrieval from video databases. The first phase consists of extracting suitable features and key frames from video shots. Then, using a fractal coding, soccer shots are retrieved, and using a fuzzy rule base containing the experiences of experts, shots that do not include significant soccer events are removed. Finally, the last phase uses SVM to classify results coming from the fuzzy system. The results of the classification phase are accompanied by a textual description and enables retrieval through text based query. Experimental results show proper classification and satisfying retrieval process.
机译：大多数信息检索系统在检索过程中间接利用人类知识。我们在这里提出的新方法旨在直接结合分形编码和支持向量机（SVM）来有效地利用人类知识进行聚类。如本文所述，这种方法特别适用于从视频数据库检索足球概念。第一阶段包括从视频镜头中提取合适的特征和关键帧。然后，使用分形编码，检索足球投篮，并使用包含专家经验的模糊规则库，删除不包含重大足球赛事的投篮。最后，最后一个阶段使用SVM对来自模糊系统的结果进行分类。分类阶段的结果带有文本描述，并可以通过基于文本的查询进行检索。实验结果表明分类正确，检索过程令人满意。

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