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MPEG-based Scene Class Recognition

机译:基于MPEG的场景类别识别

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摘要

From the viewpoints of engineering, it seems reasonable to suppose finite classes in scenes that are to be recognized. First, the integrated scene recognition scheme which has the interaction capabilities between features and semantics is proposed. On the basis of this concept, the idea of scene class is investigated. Secondly, MPEG-based cross-learning tasks are performed between five representative scenes in four subjective scene classes (SSC). Thirdly, the automatic generation of computational scene classes (CSC) is experimented. At this time, although the machine-generated CSC has not shown sufficient conformance with the human-defined SSC, it was identified that the CSC could be related to SSC under some practical constraints.
机译:从工程学的角度来看,在要识别的场景中假设有限的类似乎是合理的。首先,提出了一种具有特征与语义之间交互功能的集成场景识别方案。在此概念的基础上,研究了场景分类的思想。其次,在四个主观场景类别(SSC)中的五个代表性场景之间执行基于MPEG的交叉学习任务。第三,尝试了计算场景类(CSC)的自动生成。此时,尽管机器生成的CSC尚未显示出与人类定义的SSC足够的一致性,但已确定在某些实际约束下CSC可能与SSC相关。

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