Automatic generation of image analysis programs

M. Herrmann, C. Mayer, B. Radig

Research output: Contribution to journalArticlepeer-review


In this paper, we introduce a system that generates computer vision programs for a given task, which is specified by regions of interest in a collection of example images. The system relies on a database of operators, which are combined by an automated planning approach in order to create executable programs. We present an early proof-of-concept implementation that relies on a limited database to solve simple tasks, such as finding players in a soccer video or cups on a table. Our experimental evaluation shows that the basic approach is working on relative simple scenarios. Future work will focus on integrating more complex problem descriptions, which require more sophisticated planning strategies in order to compensate for rapidly increasing search spaces.

Original languageEnglish
Pages (from-to)400-408
Number of pages9
JournalPattern Recognition and Image Analysis
Issue number3
StatePublished - 1 Sep 2014


  • automatic programming
  • computer vision
  • generate-and-search
  • image analysis
  • inductive programming
  • machine learning
  • object detection


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