An interactive comic book presentation for exploring video
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
A fast layout algorithm for visual video summaries
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Where people look when watching movies: Do all viewers look at the same place?
Computers in Biology and Medicine
From movie to comic, informed by the screenplay
ACM SIGGRAPH 2007 posters
A User Experience Model for Home Video Summarization
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
IEEE Transactions on Multimedia - Special issue on integration of context and content
Bridging low-level features and high-level semantics via fMRI brain imaging for video classification
Proceedings of the international conference on Multimedia
Human-centered attention models for video summarization
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Motion analysis and segmentation through spatio-temporal slices processing
IEEE Transactions on Image Processing
Efficient Layout of Comic-Like Video Summaries
IEEE Transactions on Circuits and Systems for Video Technology
Inferring artistic intention in comic art through viewer gaze
Proceedings of the ACM Symposium on Applied Perception
| Hi-index | 0.00 |
A film comic is a kind of art work representing a movie story as a comic. It uses the images of the movie as panels. Verbal information such as dialogue and narrations is represented in word balloons. A key issue in creating film comics is how to select images which are significant in conveying the story of the movie. Such significance of images is inherently semantic and context-dependent and hence, technologies purely based on image analysis usually fail to produce good results. On the other hand, the word balloon arrangement requires understanding not only the semantic of images but also the verbal information, which is difficult except for the case the script of the movie is available. This paper describes a new attempt to use eye-tracking data for the automatic creation of a film comic from a movie. Patterns of eye movement are analyzed for detecting the change of scenes and gaze information is used for automatically finding the location for inserting and directing the word balloons. Our experiments showed that the proposed technique can largely improve the selection of significant images compared with the method using image features only and realize the automatic balloon arrangement.