Mathematics and Computer Science

Detecting Irregularities (such as suspicious movements) in Visual Data (No. T4-1381)

Lead Researcher: Prof. Michal Irani

  • Detecting suspicious and/or salient behaviors in video
  • Attention and saliency in images
  • Detecting irregular tissue in medical images
  • Automatic visual inspection for quality assurance (e.g., detecting defects in goods)
  • Generating a video summary/synopsis
  • Intelligent fast forward
  • Non-visual data
  • Technology's Essence

    without any prior examples, by learning the notion of regularity/irregularity directly from the query data itself.

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    Licensing Status