Real-time computerized annotation of pictures

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

140 Scopus citations

Abstract

Automated annotation of digital pictures has been a highly challenging problem for computer scientists since the invention of computers. The capability of annotating pictures by computers can lead to breakthroughs in a wide range of applications including Web image search, online picture-sharing communities, and scientific experiments. In our work, by advancing statistical modeling and optimization techniques, we can train computers about hundreds of semantic concepts using example pictures from each concept. The ALIPR (Automatic Linguistic Indexing of Pictures -Real Time)system of fully automatic and high speed annotation for online pictures has been constructed. Thousands of pictures from an Internet photo-sharing site, unrelated to the source of those pictures used in the training process, have been tested. The experimental results show that a single computer processor can suggest annotation terms in real-time and with good accuracy.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006
Pages911-920
Number of pages10
DOIs
StatePublished - Dec 1 2006
Event14th Annual ACM International Conference on Multimedia, MM 2006 - Santa Barbara, CA, United States
Duration: Oct 23 2006Oct 27 2006

Publication series

NameProceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006

Other

Other14th Annual ACM International Conference on Multimedia, MM 2006
CountryUnited States
CitySanta Barbara, CA
Period10/23/0610/27/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Media Technology

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