Automatic measurement of intensity of motion activity of video segments

Kadir A. Peker, Ajay Divakaran, Thomas V. Papathomas

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

We present a psycho-visual and analytical framework for automatic measurement of motion activity in video sequences. We construct a test-set of video segments by carefully selecting video segments from the MPEG-7 video test set. We construct a ground truth, based on subjective tests with naïve subjects. We find that the subjects agree reasonably on the motion activity of video segments, which makes the ground truth reliable. We present a set of automatically extractable, known and novel, descriptors of motion activity based on different hypotheses about subjective perception of motion activity. We show that all the descriptors perform well against the ground truth. We find that the MPEG-7 motion activity descriptor, based on variance of motion vector magnitudes, is one of the best in overall performance over the test set.

Original languageEnglish (US)
Pages (from-to)341-351
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4315
DOIs
StatePublished - 2001

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Compressed Domain Feature Extraction
  • MPEG-7
  • Motion Activity Measures
  • Video Indexing

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