ACM Home Page
Please provide us with feedback. Feedback
An instant semantics acquisition system of live soccer video with application to live event alert and on-the-fly language selection
Full text PdfPdf (631 KB)
Source
Conference On Image And Video Retrieval archive
Proceedings of the 2008 international conference on Content-based image and video retrieval table of contents
Niagara Falls, Canada
SESSION: Visual systems for event analysis in sports table of contents
Pages 495-504  
Year of Publication: 2008
ISBN:978-1-60558-070-8
Authors
Xinguo Yu  Institute for Infocomm Research, Singapore, Singapore
Xin Yan  Institute for Infocomm Research, Singapore, Singapore
Liyuan Li  Institute for Infocomm Research, Singapore, Singapore
Hon Wai Leong  National University of Singapore, Singapore
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 80,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1386352.1386416
What is a DOI?

ABSTRACT

Automatic indexing of recorded sports video is a hard problem, even more so for live sports video, though a lot of advances have been achieved in the recent years. This paper presents a semi-automatic instant semantics generation system of live soccer video and its two applications: live event alert and instant semantics embedding. A key technical challenge of building the proposed system is how to acquire the desired semantics in a very short time lag. To confront this challenge, we develop a three-channel approach to accurately and quickly acquire semantics. The hree channels are (1) developing the tool for inputting gamelog, (2) signal communication for getting commands of referee and director, and (3) video analysis for finding event boundary. The proposed system requires only a very small amount of manual work to operate gamelog acquisition tool using an icon-based interface for entering event log. Experimental results show that our system can quickly obtain the semantics of live soccer video, alert live events with a very small latency, and embed semantics into broadcasting video with a short time lag.


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
Babaguchi N., Kawai Y., and Kitashi T., Event based semantics of broadcasted sports video by intermodal collaboration, IEEE Trans. on Multimedia, vol. 4, pp. 68--75, March, 2002.
 
3
 
4
Brunelli R., Mich O., and Modena C.M., A survey of the automatic semantics of video data, J. of Vis. Com. & Image Representation 10(2), 78--112, 1999.
 
5
 
6
Chen S.-C, Shyu M.-L., Chen M, and Zhang C., A decision tree-based multimodal data mining framework for soccer goal detection, ICME 2004, pp. 265--268, Taibei, Taiwan, June, 2004.
7
 
8
Ekin A., Tekalp A. M., and Mehrotra R., Automatic soccer video analysis and summarization, IEEE Trans. Image Processing, vol. 12, no. 7, pp. 796--807, 2003.
 
9
 
10
Leonardi R., Migliorati P., and Prandini M., Semantics acquisition of soccer audio-visual sequences: a multimodal approach based on controlled Markov chains, CVST, vol. 14, 2004, pp: 634 -- 643.
 
11
Li B., Errico J., Pan H., and Sezan M. I., Bridging the semantic gap in sports video retrieval and summarization, J. of Vis. Commun. & Image Representation, vol 15, 2004, pp. 393--424.
 
12
Ngo C. W., Zhang H. J., and Pong T. C., Recent advances in content-based video analysis, J. of Image and Graphics, vol. 3, no. 1, pp.445--468, 2001.
 
13
Pan H., Li B., and Sezan M. I., Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions, ICASSP 2002.
 
14
 
15
Pingali G. S., Opalach A., Jean Y. D., and Carlbom I. B., Instantly indexed multimedia databases of real world events, IEEE Trans. Multimedia, vol. 4, pp. 269--282, June 2002.
 
16
 
17
Tovinkere V. and Qian R. J., Detecting semantic events in soccer games: Towards a complete solution, ICME 2001, 1040--1043.
 
18
Wan K., Yan X., and Xu C., Automatic mobile sports highlights, ICME 2005.
19
 
20
Wang Y., Liu Z., and Huang J., Multimedia content analysis using both audio and visual cues, IEEE Signal Proc. Magazine, vol. 17, pp.12--36, 2000.
 
21
22
23
24
 
25
 
26
Xiong Z., Radhakrishnan R., and Divakaran A., Generation of sports highlights using motion activity in combination with a common audio feature extraction framework, ICIP 2003, vol. 1, pp. 5--8, 2003.
 
27
Yang Y.-Q., Lu Y-D, and Chen W., A framework for automatic detection of soccer goal event based on cinematic template, Int'l Conf. on Machine Learning and Cybernetics, vol 6, pp.3759--764, 2004.
 
28
Yow D., Yeo B. L., Yeung M., and Liu B., Analysis and presentation of soccer highlight from digital video, ACCV 1995, pp.499--503, 1995.
 
29
 
30
 
31


Collaborative Colleagues:
Xinguo Yu: colleagues
Xin Yan: colleagues
Liyuan Li: colleagues
Hon Wai Leong: colleagues