Visual tagging through social collaboration: A concept paper

Andrea Bellucci, Stefano Levialdi, Alessio Malizia

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

2 Citations (Scopus)


Collaborative tagging has grown on the Internet as a new paradigm for web information discovering, filtering and retrieval. In the physical world, we use visual tags: labels readable by smartphones with cameras. While visual tags are usually related to a web site address, collaborative tagging, instead, provides updated, recommended information contributed and shared by users. In this paper we investigate the combination of collaborative tagging systems with visual tags. We present a prototype of a semiautomatic system generating visual tags which gather information from collaborative tagging. The user can interact with a list of relevant tags (built by clustering closely related tags) that can be further encoded in a visual tag, according to user's preferences. The user experience is enriched by retrieving multimedia content linked to the selected tags, present on the web. We finally show a case study illustrating our approach.

Original languageEnglish
Title of host publicationHuman-Computer Interaction - INTERACT 2007 - 11th IFIP TC 13 International Conference, Proceedings
Number of pages4
Volume4663 LNCS
EditionPART 2
Publication statusPublished - 2007
Event11th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2007 - Rio de Janeiro, Brazil
Duration: 10 Sept 200714 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4663 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2007
CityRio de Janeiro


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