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Toward video semantic search based on a structured folksonomy

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  • Hyun Hee Kim

Abstract

This study investigated the effectiveness of query expansion using synonymous and co‐occurrence tags in users' video searches as well as the effect of visual storyboard surrogates on users' relevance judgments when browsing videos. To do so, we designed a structured folksonomy‐based system in which tag queries can be expanded via synonyms or co‐occurrence words, based on the use of WordNet 2.1 synonyms and Flickr's related tags. To evaluate the structured folksonomy‐based system, we conducted an experiment, the results of which suggest that the mean recall rate in the structured folksonomy‐based system is statistically higher than that in a tag‐based system without query expansion; however, the mean precision rate in the structured folksonomy‐based system is not statistically higher than that in the tag‐based system. Next, we compared the precision rates of the proposed system with storyboards (SB), in which SB and text metadata are shown to users when they browse video search results, with those of the proposed system without SB, in which only text metadata are shown. Our result showed that browsing only text surrogates—including tags without multimedia surrogates—is not sufficient for users' relevance judgments.

Suggested Citation

  • Hyun Hee Kim, 2011. "Toward video semantic search based on a structured folksonomy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(3), pages 478-492, March.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:3:p:478-492
    DOI: 10.1002/asi.21482
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