The story picturing engine - A system for automatic text illustration

Dhiraj Joshi, James Z. Wang, Jia Li

Research output: Contribution to journalArticlepeer-review

91 Scopus citations


We present an unsupervised approach to automated story picturing. Semantic keywords are extracted from the story, an annotated image database is searched. Thereafter, a novel image ranking scheme automatically determines the importance of each image. Both lexical annotations and visual content play a role in determining the ranks. Annotations are processed using the Wordnet. A mutual reinforcement-based rank is calculated for each image. We have implemented the methods in our Story Picturing Engine (SPE) system. Experiments on large-scale image databases are reported. A user study has been performed and statistical analysis of the results has been presented.

Original languageEnglish (US)
Pages (from-to)68-89
Number of pages22
JournalACM Transactions on Multimedia Computing, Communications and Applications
Issue number1
StatePublished - Feb 2006

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications


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