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Part-based object extraction for complex objects

机译:基于部分的对象提取复杂对象

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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,增加了用于高效访问视觉数据的索引要求。对这一要求的满意度主要取决于视觉数据中的对象的自动提取。在该研究中,将组成的物体提取方法与其全部内的对象提取进行比较。本文提出了应用的方法,实施的系统和进行的测试。测试结果表明,即使在为整个对象实现了良好的分割的情况下,与整个对象相比,对象组件更成功地分类。

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