Using CBIR and pathfinder networks for image database visualisation

George Gagaudakis, Paul L. Rosin, Chaomei Chen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Digital images and videos have an increasingly important role in today's telecommunication and our everyday life in modern information society. In this paper, we explore the synergy between content-based information retrieval techniques and Pathfinder networks. Salient image features, based on colour, texture, edge orientation, and edge distance, are extracted. The structural modelling capabilities of Pathfinder are then applied to simplify and visualise the strongest interrelationships in the image database.

Original languageEnglish
Pages (from-to)1052-1055
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Issue number1
Publication statusPublished - 2000

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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