A new content based image retrieval method based on a sketch-driven interpretation of line segments

  • Authors:

  • Marco Anelli;Alessandro Micarelli;Enver Sangineto

  • Affiliations:

  • Dipartimento di Informatica e Automazione, AI Lab, Universita degli Studi "Roma Tre", Roma, Italia;Centro di Ricerca in Matematica Pura e Applicata, Sezione "Roma Tre", Roma, Italia and Dipartimento di Informatica e Automazione, AI Lab, Universita degli Studi "Roma Tre", Roma, Italia;Centro di Ricerca in Matematica Pura e Applicata, Sezione "Roma Tre", Roma, Italia

  • Venue:
  • IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
  • Year:
  • 2003

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Abstract

We present a new method for image retrieval by shape similarity able to deal with real images with not uniform background and possible touching/ occluding objects. First of all we perform a sketch-driven segmentation of the scene by means of a Deformation Tolerant version of the Generalized Hough Transform (DTGHT). Using the DTGHT we select in the image some candidate segments to be matched with the user sketch. The candidate segments are then matched with the sketch checking the consistency of the corresponding shapes.