Layout Recognition of Multi-Kinds of Table-Form Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural extraction from visual layout of documents
Proceedings of the eleventh international conference on Information and knowledge management
AIDAS: Incremental Logical Structure Discovery in PDF Documents
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
HTML Page Analysis Based on Visual Cues
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Analyzing visual layout for a non-visual presentation-document interface
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Structured Data Extraction from the Web Based on Partial Tree Alignment
IEEE Transactions on Knowledge and Data Engineering
Skill-up support for slide composition through discussion
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
Information Provision Modules to Support Creation of Slides with Easily Understandable Presentation
International Journal of Knowledge and Systems Science
Multimodal alignment of scholarly documents and their presentations
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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Electronic presentations are used in numerous scenarios, such as lectures and meetings. In recent years, the widespread use of electronic presentations means that presentation slide data is increasing as one of industry's most important information resources. Therefore, it is necessary to develop a practical usage method for the reutilisation of the data on slides. An approach to achieve this is to focus on visual structure information within a slide, because visual structure information is one of the most valuable, easy to understand methods for humans. However, since visual structure information is not explicitly defined in the slide data itself, computers have difficulty comprehending structure information directly. In this paper, we propose a method of extracting structure information from slide information. The proposed method is composed of two steps: organising objects within the slide as units, such as title, body text, figure and table, and structuring the units as a hierarchy tree based on a top-down approach.