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Visual digests for news video libraries
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Source International Multimedia Conference archive
Proceedings of the seventh ACM international conference on Multimedia (Part 1) table of contents
Orlando, Florida, United States
Pages: 303 - 311  
Year of Publication: 1999
ISBN:1-58113-151-8
Author
Michael G. Christel  Computer Science Dept. and HCI Institute, Carnegie Mellon University, Pittsburgh, PA
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 18,   Citation Count: 12
Additional Information:

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ABSTRACT

The Informedia Digital Video Library contains over 2000 hours of video, growing at a rate of 15 hours per week. A good query engine is not sufficient for information retrieval because often the candidate result sets grow in number as the library grows. Video digests summarize sets of stories from the library, providing users with a visual mechanism for interactive browsing and query refinement. These digests are generated dynamically under the direction of the user based on automatically derived metadata from the video library. Three types of digests are discussed: VIBE digests emphasizing word relationships, timelines showing trends against time, and maps showing geographic correlations. Multiple digests can be combined into a single view or animated into a temporal presentation.


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.

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Allan, J., Carbonell, J., Doddington, G., Yamron, I., and Yang, Y. Topic Detection and Tracking Pilot Study: Final Report. In Proc. DARPA Workshop on Broadcast News Understanding Systems (Lansdowne VA, February 1998), 194-218.
 
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Christel, M.G., and Olligschlaeger, A.M. Interactive Maps for a Digital Video Library. In Proc. Int'l Conf. on Multimedia Computing and Systems (Florence, Italy, June 1999), IEEE Press, 381-387.
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Environmental Systems Research Institute, Inc., home page, httv://www.esri.com/
 
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Hauptmann, A.G., Jones, R.E., Seymore, K., Siegler, M.A., Slattery, S.T., and Witbrock, M.J. Experiments in Information Retrieval from Spoken Documents. In Proc. DARPA Workshop on Broadcast News Understanding Systems (Lansdowne VA, February 1998), 175-181.
 
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Houghton, R. Automatic Accumulation of a Scalable Named Face Database. iEEE Intelligent Systems, 1999, in press.
 
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Kubala, F., Schwartz, R., Stone, R., and Weischedel, R. Named Entity Extraction from Speech. In Proc. DARPA Workshop on Broadcast News Understanding Systems (Lansdowne VA, February 1998).
 
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Shneiderman, B. The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. HCI Lab, Inst. Systems Research, Inst. Advanced Computer Studies, Dept. of Computer Science Tech. Report CS-TR-3665, Univ. of Maryland, (July 1996).
 
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CITED BY  12

Collaborative Colleagues:
Michael G. Christel: colleagues