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IMOTION — A Content-Based Video Retrieval Engine

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MultiMedia Modeling (MMM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8936))

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Abstract

This paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the IMOTION system exploits a large variety of low-level image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. In addition, it supports dedicated motion features to allow for the specification of motion within a video sequence. For query specification, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback.

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© 2015 Springer International Publishing Switzerland

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Rossetto, L. et al. (2015). IMOTION — A Content-Based Video Retrieval Engine. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-14442-9_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14441-2

  • Online ISBN: 978-3-319-14442-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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