| NTU TRECVID-2007 fast rushes summarization system |
| Full text |
Pdf
(818 KB)
|
Source
|
International Multimedia Conference
archive
Proceedings of the international workshop on TRECVID video summarization
table of contents
Augsburg, Bavaria, Germany
Pages: 74 - 78
Year of Publication: 2007
ISBN:978-1-59593-780-3
|
|
Authors
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 1, Downloads (12 Months): 28, Citation Count: 4
|
|
|
ABSTRACT
Rushes are the raw materials used to produce a video. They often contain redundant and repetitive contents. Rushes summarization aims to provide a quick overview for a rushes video. As part of TRECVID 2007, NIST initiates a rushes summarization task. This paper reports on the design of NTU rushes summarization system for this task. Our system consists of three components, shot segmentation, redundant shot detection and summary creation. To tackle the bulky rushes, we focus on efficient but effective feature representations (local color histograms and compressed-domain motion vectors) and summarization methods. In addition, we proposed a novel approach to detect clapper shots which are not only relevant to concise summarizes but also essential for indexing numerous camera takes in the rushes. Even practically efficient and requiring only 40% of the video time for computation, the proposed system achieved satisfying results in TRECVID 2007 rushes summarization task.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
|
| |
2
|
I. Koprinska and S. Carrato. Temporal video segmentation: A survey. 16:477--500, 2001.
|
| |
3
|
|
 |
4
|
Paul Over , Alan F. Smeaton , Philip Kelly, The trecvid 2007 BBC rushes summarization evaluation pilot, Proceedings of the international workshop on TRECVID video summarization, p.1-15, September 28-28, 2007, Augsburg, Bavaria, Germany
[doi> 10.1145/1290031.1290032]
|
| |
5
|
I. K. Sethi and N. V. Patel. Statistical approach to scene change detection. In Storage and Retrieval for Image and Video Databases (SPIE), pages 329--338, 1995.
|
CITED BY 4
|
|
Tao Wang , Shangping Feng , Patricia P. Wang , Wei Hu , Shuang Zhang , Wei Zhang , Yangzhou Du , Jianguo Li , Jianmin Li , Yimin Zhang, THU-intel at rushes summarization of TRECVID 2008, Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, p.124-128, October 31-31, 2008, Vancouver, British Columbia, Canada
|
|
|
|
|
|
Koji Yamasaki , Koichi Shinoda , Sadaoki Furui, Automatically estimating number of scenes for rushes summarization, Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, p.129-133, October 31-31, 2008, Vancouver, British Columbia, Canada
|
|
|
Narongsak Putpuek , Duy-Dinh Le , Nagul Cooharojananone , Shin'ichi Satoh , Chidchanok Lursinsap, Rushes summarization using different redundancy elimination approaches, Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, p.100-104, October 31-31, 2008, Vancouver, British Columbia, Canada
|
|