WordNet: a lexical database for English
Communications of the ACM
Storytelling with digital photographs
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Designing StoryRooms: interactive storytelling spaces for children
DIS '00 Proceedings of the 3rd conference on Designing interactive systems: processes, practices, methods, and techniques
WordsEye: an automatic text-to-scene conversion system
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
The Story Picturing Engine---a system for automatic text illustration
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Automated Illustration of News Stories
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
News contextualization with geographic and visual information
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Image abstraction in crossmedia retrieval for text illustration
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Harvesting visual concepts for image search with complex queries
Proceedings of the 20th ACM international conference on Multimedia
Enhancing news organization for convenient retrieval and browsing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We all had the problem of forgetting about what we just read a few sentences before. This comes from the problem of attention and is more common with children and elderly. People feel either bored or distracted by something more interesting. This paper proposes an application to help people reading news by illustrating the news story. The application provides mechanisms to (1) select the best illustration for each scene and (2) to select the set of illustrations to improve the story sequence. The application proposed in this technical demo aims at improving the user's attention when reading news articles. The application implements several information processing techniques to generate an audio-visual presentation of the text news article.