Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

PhotoVis: Visualization of Digital Photograph Metadata

Michael Hsueh

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2011-42
May 9, 2011

http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-42.pdf

Metadata in digital photographs is an important reference tool for photographers aiming to improve their skills and learn new techniques. As digital pictures grow in prevalence and availability, it becomes increasingly important to find ways to summarize, explore, and make sense of the wealth of metadata available. This paper presents PhotoVis, a tool that approaches the problem of aggregate metadata analysis using visualization techniques. It incorporates data-centric views, filtering tools, and interactive exploration to provide users maximum flexibility in examining metadata. Tests of the application found it to perform well with large image sets and confirmed the value of visualizations in metadata analysis.


BibTeX citation:

@techreport{Hsueh:EECS-2011-42,
    Author = {Hsueh, Michael},
    Title = {PhotoVis: Visualization of Digital Photograph Metadata},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2011},
    Month = {May},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-42.html},
    Number = {UCB/EECS-2011-42},
    Abstract = {Metadata in digital photographs is an important reference tool for photographers aiming to improve their skills and learn new techniques. As digital pictures grow in prevalence and availability, it becomes increasingly important to find ways to summarize, explore, and make sense of the wealth of metadata available. This paper presents PhotoVis, a tool that approaches the problem of aggregate metadata analysis using visualization techniques. It incorporates data-centric views, filtering tools, and interactive exploration to provide users maximum flexibility in examining metadata. Tests of the application found it to perform well with large image sets and confirmed the value of visualizations in metadata analysis.}
}

EndNote citation:

%0 Report
%A Hsueh, Michael
%T PhotoVis: Visualization of Digital Photograph Metadata
%I EECS Department, University of California, Berkeley
%D 2011
%8 May 9
%@ UCB/EECS-2011-42
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2011/EECS-2011-42.html
%F Hsueh:EECS-2011-42