Snap2Read: automatic magazine capturing and analysis for adaptive mobile reading

Authors:
Yu-Ming Hsu;Yen-Liang Lin;Winston H. Hsu;Brian Wang
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University;Institute of Networking and Multimedia, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University and Institute of Networking and Multimedia, National Taiwan University;Institute for Information Industry, Taiwan
Venue:
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Year:
2011

Citing 6
Cited 0

Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model

PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Page Segmentation Competition

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Robust web page segmentation for mobile terminal using content-distances and page layout information

Proceedings of the 16th international conference on World Wide Web
Representing shape with a spatial pyramid kernel

Proceedings of the 6th ACM international conference on Image and video retrieval
PACER: toward a cameraphone-based paper interface for fine-grained and flexible interaction with documents

MM '09 Proceedings of the 17th ACM international conference on Multimedia
LIBSVM: A library for support vector machines

ACM Transactions on Intelligent Systems and Technology (TIST)

Quantified Score

Hi-index	0.00

Visualization

Abstract

The rise of electronic book services and the prevalence of mobile devices reveal the needs for mobile reading and the booming business opportunities in e-book developments. However, incompatible e-book readers, non-uniformed e-book formats, or even limited screen resolution causes the inconvenience of reading documents on handheld devices. Mean while, it is difficult to read physical magazines that do not have the corresponding digital copies. Therefore, we propose a system, Snap2Read, that can automatically segment the captured document images (i.e., from the physical magazines) in mobile phones into readable patches (e.g. text, title, image), and then scale them into suitable size so that users can easily browse the digitalized magazine pages via the mobile phone with simple clicks.