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Part-based object extraction for complex objects

机译:基于零件的复杂对象提取

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Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects in the visual data. In this study, component-based object extraction method is compared with object extraction in its entirety. Applied method, implemented system and conducted tests are presented in this paper. Test results show that, even in the case of a good segmentation is achieved for whole object, object components are classified more successfully compared to whole object.
机译:随着多媒体应用的广泛使用,对有效访问视觉数据的索引要求已经增加。是否满足此要求主要取决于视觉数据中对象的自动提取。在这项研究中,将基于组件的对象提取方法与对象提取的整体进行比较。本文介绍了应用方法,实现的系统和进行的测试。测试结果表明,即使在对整个对象进行良好分割的情况下,与整个对象相比,对象成分的分类也更为成功。

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