Share Email Print

Proceedings Paper

Real time motion analysis toward semantic understanding of video content
Author(s): Yong Wang; Tong Zhang; Daniel Tretter; Peng Wu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 24 June 2005
PDF: 12 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596027 (24 June 2005); doi: 10.1117/12.631642
Show Author Affiliations
Yong Wang, Hewlett-Packard Labs. (United States)
Tong Zhang, Hewlett-Packard Labs. (United States)
Daniel Tretter, Hewlett-Packard Labs. (United States)
Peng Wu, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?