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ABSTRACT
The authors developed a system in which visually dense displays of thumbnail imagery in storyboard views are used for shot-based video retrieval. The views allow for effective retrieval, as evidenced by the success achieved by expert users with the system in interactive query for NIST TRECVID 2002 and 2003. This paper demonstrates that novice users also achieve comparatively high retrieval performance with these views using the TRECVID 2003 benchmarks. Through an analysis of the user interaction logs, heuristic evaluation, and think-aloud protocol, the usability of the video information retrieval system is appraised with respect to shot-based retrieval. Design implications are presented based on these TRECVID usability evaluations regarding efficient, effective information retrieval interfaces to locate visual information from video corpora.
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 6
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Andreas Girgensohn , John Adcock , Matthew Cooper , Lynn Wilcox, Interactive search in large video collections, CHI '05 extended abstracts on Human factors in computing systems, April 02-07, 2005, Portland, OR, USA
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