TY - JOUR
T1 - ShotVis
T2 - Smartphone-Based visualization of OCR information from images
AU - Zhu, Biao
AU - Zhang, Hongxin
AU - Chen, Wei
AU - Xia, Feng
AU - Maciejewski, Ross
N1 - Funding Information:
This work is supported by the Major Program of the National Natural Science Foundation of China (under grant 61232012), the National Natural Science Foundation of China (under grant 61422211), the Fundamental Research Funds for the Central Universities, the Major Program of the Natural Science Foundation of Zhejiang province, China (under grant LZ12F02002) and the US National Science Foundation (under grant 1350573). Authors’ addresses: B. Zhu, H. Zhang, and W. Chen, State Key Lab of CAD&CG, Zhejiang University, China; email: arthurbzhu@gmail.com; {zhx, chenwei}@cad.zju.edu.cn; F. Xia, School of Software, Dalian University of Technology, China; email: f.xia@ieee.org; R. Maciejewski, Arizona State University; email: rmacieje@asu.edu. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. ©c 2015 ACM 1551-6857/2015/10-ART12 $15.00 DOI: http://dx.doi.org/10.1145/2808210
Publisher Copyright:
© 2015 ACM.
PY - 2015/10
Y1 - 2015/10
N2 - While visualization has been widely used as a data presentation tool in both desktop and mobile devices, the rapid visualization of information from images is still underexplored. In this work, we present a smartphone image acquisition and visualization approach for text-based data. Our prototype, ShotVis, takes images of text captured from mobile devices and extracts information for visualization. First, scattered characters in the text are processed and interactively reformulated to be stored as structured data (i.e., tables of numbers, lists of words, sentences). From there, ShotVis allows users to interactively bind visual forms to the underlying data and produce visualizations of the selected forms through touch-based interactions. In this manner, ShotVis can quickly summarize text from images into word clouds, scatterplots, and various other visualizations all through a simple click of the camera. In this way, ShotVis facilitates the interactive exploration of text data captured via cameras in smartphone devices. To demonstrate our prototype, several case studies are presented along with one user study to demonstrate the effectiveness of our approach.
AB - While visualization has been widely used as a data presentation tool in both desktop and mobile devices, the rapid visualization of information from images is still underexplored. In this work, we present a smartphone image acquisition and visualization approach for text-based data. Our prototype, ShotVis, takes images of text captured from mobile devices and extracts information for visualization. First, scattered characters in the text are processed and interactively reformulated to be stored as structured data (i.e., tables of numbers, lists of words, sentences). From there, ShotVis allows users to interactively bind visual forms to the underlying data and produce visualizations of the selected forms through touch-based interactions. In this manner, ShotVis can quickly summarize text from images into word clouds, scatterplots, and various other visualizations all through a simple click of the camera. In this way, ShotVis facilitates the interactive exploration of text data captured via cameras in smartphone devices. To demonstrate our prototype, several case studies are presented along with one user study to demonstrate the effectiveness of our approach.
KW - Cyber-physical interaction
KW - Data visualization
KW - Interaction
KW - Smartphone
KW - Touch-based interface
KW - Wearable computing
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U2 - 10.1145/2808210
DO - 10.1145/2808210
M3 - Article
AN - SCOPUS:84946544711
SN - 1551-6857
VL - 12
JO - ACM Transactions on Multimedia Computing, Communications and Applications
JF - ACM Transactions on Multimedia Computing, Communications and Applications
M1 - 12
ER -