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A web-based system for collaborative annotation of large image and video collections: an evaluation and user study
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Source International Multimedia Conference archive
Proceedings of the 13th annual ACM international conference on Multimedia table of contents
Hilton, Singapore
SESSION: Applications 3: tools for multimedia analysis and retrieval table of contents
Pages: 892 - 901  
Year of Publication: 2005
ISBN:1-59593-044-2
Authors
Timo Volkmer  RMIT University, Melbourne, Australia
John R. Smith  IBM Watson Research Center, Hawthorne, NY
Apostol (Paul) Natsev  IBM Watson Research Center, Hawthorne, NY
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 19,   Downloads (12 Months): 192,   Citation Count: 14
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ABSTRACT

Annotated collections of images and videos are a necessary basis for the successful development of multimedia retrieval systems. The underlying models of such systems rely heavily on quality and availability of large training collections. The annotation of large collections, however, is a time-consuming and error prone task as it has to be performed by human annotators. In this paper we present the IBM Efficient Video Annotation (EVA) system, a server-based tool for semantic concept annotation of large video and image collections. It is optimised for collaborative annotation and includes features such as workload sharing and support in conducting inter-annotator analysis. We discuss initial results of an ongoing user-evaluation of this system. The results are based on data collected during the 2005 TRECVID Annotation Forum, where more than 100 annotators have been using the system.


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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CITED BY  14
 
 
 

Collaborative Colleagues:
Timo Volkmer: colleagues
John R. Smith: colleagues
Apostol (Paul) Natsev: colleagues