2015 13th International Conference on Document Analysis and Recognition (ICDAR) (2015)
Aug. 23, 2015 to Aug. 26, 2015
Olivier Augereau , Osaka Prefecture University, Japan
Koichi Kise , Osaka Prefecture University, Japan
Kensuke Hoshika , Osaka Prefecture University, Japan
Instead of analyzing directly the document images, analyzing the document reading can offer new perspectives for extracting information about both the reader and the document. Analyzing how people read texts can help to understand the cognitive process of the reading and might lead to new approaches and new solutions for pattern recognition and document image analysis. It can also lead to create smart documents that can measure reading information, provide feedback and adapt themselves depending on the behavior of the readers. As a step towards document reading analysis, the authors propose in this paper a solution for extracting the reading information and creating a “reading-life log”. This reading-life log contains basic features that can be used for many different kinds of applications. A tag cloud evolving according to the reading is presented as a first application of the reading-life log.
O. Augereau, K. Kise and K. Hoshika, "A proposal of a document image reading-life log based on document image retrieval and eyetracking," 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Tunis, Tunisia, 2015, pp. 246-250.