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Frame Decimation for Structure and Motion

  • David Nistér
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2018)

Abstract

A frame decimation scheme is proposed that makes automatic extraction of Structure and Motion (SaM) from handheld sequences more practical. Decimation of the number of frames used for the actual SaM calculations keeps the size of the problem manageable, regardless of the input frame rate. The proposed preprocessor is based upon global motion estimation between frames and a sharpness measure. With these tools, shot boundary detection is first performed followed by the removal of redundant frames. The frame decimation makes it feasible to feed the system with a high frame rate, which in turn avoids loss of connectivity due to matching difficulties. A high input frame rate also enables robust automatic detection of shot boundaries. The development of the preprocessor was prompted by experience with a number of test sequences, acquired directly from a handheld camera. The preprocessor was tested on this material together with a SaM algorithm. The scheme is conceptually simple and still has clear benefits.

Keywords

Video Sequence Frame Rate High Frame Rate Shot Boundary Lower Frame Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • David Nistér
    • 1
  1. 1.Visual Technology, Ericsson ResearchEricsson Radio SystemsStockholmSWEDEN

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