Abstract

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.

Original languageEnglish (US)
Article number12
JournalACM Transactions on Multimedia Computing, Communications and Applications
Volume12
DOIs
StatePublished - Oct 1 2015

Fingerprint

Optical character recognition
Smartphones
Visualization
Mobile devices
Cameras
Image acquisition

Keywords

  • Cyber-physical interaction
  • Data visualization
  • Interaction
  • Smartphone
  • Touch-based interface
  • Wearable computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

ShotVis : Smartphone-Based visualization of OCR information from images. / Zhu, Biao; Zhang, Hongxin; Chen, Wei; Xia, Feng; Maciejewski, Ross.

In: ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 12, 12, 01.10.2015.

Research output: Contribution to journalArticle

@article{9b702ea996274b2d9664d67893cc3ee1,
title = "ShotVis: Smartphone-Based visualization of OCR information from images",
abstract = "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.",
keywords = "Cyber-physical interaction, Data visualization, Interaction, Smartphone, Touch-based interface, Wearable computing",
author = "Biao Zhu and Hongxin Zhang and Wei Chen and Feng Xia and Ross Maciejewski",
year = "2015",
month = "10",
day = "1",
doi = "10.1145/2808210",
language = "English (US)",
volume = "12",
journal = "ACM Transactions on Multimedia Computing, Communications and Applications",
issn = "1551-6857",
publisher = "Association for Computing Machinery (ACM)",

}

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

PY - 2015/10/1

Y1 - 2015/10/1

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

UR - http://www.scopus.com/inward/record.url?scp=84946544711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946544711&partnerID=8YFLogxK

U2 - 10.1145/2808210

DO - 10.1145/2808210

M3 - Article

VL - 12

JO - ACM Transactions on Multimedia Computing, Communications and Applications

JF - ACM Transactions on Multimedia Computing, Communications and Applications

SN - 1551-6857

M1 - 12

ER -