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Video Browser Showdown by NUS

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Advances in Multimedia Modeling (MMM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7131))

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Abstract

The known item search task (KIS) aims to retrieve a unique video or video clip in the video corpus. This paper presents a novel interactive video browsing system for KIS task. Our system integrates visual content-based, text-based and concept-based search approaches. It allows users to flexibly choose the search approaches. Moreover, two novel feedback schemes are employed: first, users can specify the temporal order in visual and conceptual inputs; second, users can label related samples with respect to visual, textual and conceptual features. Adopting these two feedback schemes greatly enhances search performance.

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References

  1. Chen, X.Y., Yuan, J., et al.: TRECVID 2010 Known-item Search by NUS. In: TRECVID Workshop (2010)

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  2. Yuan, J., Zha, Z.-J., et al.: Utilizing Related Samples to Enhance Interactive Concept-based Video Search. IEEE Transactions on Multimedia (2011)

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  3. Yuan, J., Zha, Z.-J., et al.: Learning Concept Bundles for Video Search with Complex Queries. In: Proc. of ACM Int. Conf. on Multimedia (2011)

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© 2012 Springer-Verlag Berlin Heidelberg

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Yuan, J. et al. (2012). Video Browser Showdown by NUS. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_64

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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