Interactive model-based matching retrieval

L. Cinque, S. Levialdi, A. Malizia, R. Mancini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


We present a system for image retrieval based on the query-by-sketch technique. In our system the user formulates a query by drawing a sketch of the shape of the object (the "model") he is looking for and requests all images, stored in a database, containing such similar object. The system evaluates the similarity between the shapes in the database and the rough sketch by applying, sequentially, three similarity criteria based on the shape description. The system tries to emulate some typical human features like the power of visual communication, the fast cognitive feedback loop and the relatively small memory load for a natural and inexpensive human-computer interaction.

Original languageEnglish
Title of host publicationImage Analysis and Processing - 9th International Conference, ICIAP 1997, Proceedings
PublisherSpringer Nature
Number of pages8
ISBN (Print)3540635084, 9783540635086
Publication statusPublished - 1997
Event9th International Conference on Image Analysis and Processing, ICIAP 1997 - Florence, Italy
Duration: 17 Sept 199719 Sept 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Image Analysis and Processing, ICIAP 1997


  • Human-computer interaction
  • Image retrieval
  • Model-based matching
  • Query-by-sketch
  • Shape description
  • Visual communication


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