Image Discovery and Insertion for Custom Publishing


Abstract: Images in reading materials make the content come alive. Aside from providing additional information to the text, reading material containing illustration engages our spatial memory, increases memory retention of the material. However, despite the plethora of available multimedia, adding illustrations to text continues to be a difficult task for the amateur content publisher. To address this problem, we present a semantic-aware image discovery and insertion system for custom publishing. Compared to image search engines, our system has the advantage of being able to discern among different topics within a long text passage and recommend the most relevant images for each detected topic with semantic ***visual words*** based relevance.

2 Pages

  • External Posting Date: External Posting Date: September 21, 2015 [Fulltext]. Approved for External Publication
  • Internal Posting Date: Internal Posting Date: September 21, 2015 [Fulltext]

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