Real time motion analysis toward semantic understanding of video content

Yong Wang; Tong Zhang; Daniel Tretter; Peng Wu

doi:10.1117/12.631642

24 June 2005 Real time motion analysis toward semantic understanding of video content

Yong Wang, Tong Zhang, Daniel Tretter, Peng Wu

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596027 (2005) https://doi.org/10.1117/12.631642
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

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.

Citation Download Citation

Yong Wang, Tong Zhang, Daniel Tretter, and Peng Wu "Real time motion analysis toward semantic understanding of video content", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596027 (24 June 2005); https://doi.org/10.1117/12.631642

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