The CUBRIK Project: Human-enhanced time-aware multimedia search

Piero Fraternali, Marco Tagliasacchi, Davide Martinenghi, Alessandro Bozzon, Ilio Catallo, Eleonora Ciceri, Ismail Sengor Altingovde, Wolf Siberski, Martha Larson, More Authors

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

The Cubrik Project is an Integrated Project of the 7th Frame- work Programme that aims at contributing to the multimedia search domain by opening the architecture of multimedia search engines to the integration of open source and third party content annotation and query processing components, and by exploiting the contribution of humans and communities in all the phases of multimedia search, from content processing to query processing and relevance feedback processing. The CUBRIK presentation will showcase the architectural concept and scientific background of the project and demonstrate an initial scenario of human-enhanced content and query processing pipeline.
Original languageEnglish
Title of host publicationWWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages259-262
Number of pages4
ISBN (Print)9781450312301
DOIs
Publication statusPublished - 2012
Event21st Annual Conference on World Wide Web, WWW'12 - Lyon, France
Duration: 16 Apr 201220 Apr 2012

Conference

Conference21st Annual Conference on World Wide Web, WWW'12
CountryFrance
CityLyon
Period16/04/1220/04/12

Keywords

  • Application
  • Architecture
  • CUBRIK
  • Human computation
  • Logo detection
  • Multimedia

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    Fraternali, P., Tagliasacchi, M., Martinenghi, D., Bozzon, A., Catallo, I., Ciceri, E., Altingovde, I. S., Siberski, W., Larson, M., & More Authors (2012). The CUBRIK Project: Human-enhanced time-aware multimedia search. In WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion (pp. 259-262). Association for Computing Machinery (ACM). https://doi.org/10.1145/2187980.2188023