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Real Time Motion Analysis Toward Semantic Understanding of Video Content

机译:实时运动分析对视频内容的语义理解

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Video motion analysis and its applications have been a classic research topic for decades. In this paper, we explore the problem of real time video semantics understanding based on motion information. The work can be divided into two segments: global/camera motion estimation and object motion analysis. The former involves optical flow analysis and semantic meaning parsing, and the latter involves object detection and tracking. Although each of these topics has been studied extensively in the literature, a thorough system combining all of them without human intervention, especially under a real time application scenario, is still worthy of further investigation. In this paper we develop our approach toward such a destination and propose an integral architecture. The usability and efficiency of the proposed system have been demonstrated through experiments. Results of this project have numerous applications in digital entertainment, such as video and image summarization, annotation, retrieval and editing.
机译:数十年来,视频运动分析及其应用一直是经典的研究主题。在本文中,我们探讨了基于运动信息的实时视频语义理解问题。作品可分为两个部分:全局/相机运动估计和对象运动分析。前者涉及光流分析和语义解析,而后者涉及对象检测和跟踪。尽管在文献中已经对这些主题中的每一个进行了广泛的研究,但是,在没有人为干预的情况下(特别是在实时应用情况下)将所有这些主题组合在一起的完整系统仍然值得进一步研究。在本文中,我们开发了针对此类目的地的方法,并提出了一个整体架构。通过实验证明了所提出系统的可用性和效率。该项目的结果在数字娱乐中具有许多应用,例如视频和图像摘要,注释,检索和编辑。

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