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Analysis of Videos using Tile Mining

Abstract : We investigate how mining top-k largest tiles in a data stream under the sliding window model can be useful for (real-time) analysis of videos and, in particular, for tracking. We first explain how a track- ing problem can be cast into a stream pattern mining problem. We then show some preliminary results on tracking in the particular context where both the objects and the camera are moving and where the user does not specify the regions of interest in the first frames of the videos.
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Submitted on : Thursday, October 10, 2013 - 7:01:33 PM
Last modification on : Thursday, March 18, 2021 - 10:18:02 AM
Long-term archiving on: : Saturday, January 11, 2014 - 4:21:48 AM


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  • HAL Id : hal-00871874, version 1



Toon Calders, Elisa Fromont, Baptiste Jeudy, Hoang Thanh Lam. Analysis of Videos using Tile Mining. Real-World Challenges for Data Stream Mining Workshop-Discussion, Sep 2013, Czech Republic. ⟨hal-00871874⟩



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