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Experiments in interactive video search by addition and subtraction
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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: Challenges in interactive video retrieval table of contents
Pages 465-474  
Year of Publication: 2008
ISBN:978-1-60558-070-8
Authors
John Adcock  FX Palo Alto Laboratory Inc., Palo Alto, CA, USA
Matthew Cooper  FX Palo Alto Laboratory Inc., Palo Alto, CA, USA
Jeremy Pickens  FX Palo Alto Laboratory Inc., Palo Alto, CA, USA
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
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ABSTRACT

We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system is intended to maximize the use of the discriminative power of the human searcher. This is accomplished by providing a hierarchical segmentation, streamlined interface, and redundant visual cues throughout. The typical search scenario includes a single searcher with the ability to search with text and content-based queries. In this paper, we evaluate new variations on our basic search system. In particular we test the system using only visual content-based search capabilities, and using paired searchers in a realtime collaboration. We present analysis and conclusions from these experiments.


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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Collaborative Colleagues:
John Adcock: colleagues
Matthew Cooper: colleagues
Jeremy Pickens: colleagues