ACM Home Page
Please provide us with feedback. Feedback
ScreenCrayons: annotating anything
Full text PdfPdf (587 KB)
Source Symposium on User Interface Software and Technology archive
Proceedings of the 17th annual ACM symposium on User interface software and technology table of contents
Santa Fe, NM, USA
SESSION: Document interaction table of contents
Pages: 165 - 174  
Year of Publication: 2004
ISBN:1-58113-957-8
Authors
Dan R. Olsen, Jr.  Brigham Young University, Provo, UT
Trent Taufer  Brigham Young University, Provo, UT
Jerry Alan Fails  Brigham Young University, Provo, UT
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 65,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1029632.1029663
What is a DOI?

ABSTRACT

ScreenCrayons is a system for collecting annotations on any type of document or visual information from any application. The basis for the system is a screen capture upon which the user can highlight the relevant portions of the image. The user can define any number of topics for organizing notes. Each topic is associated with a highlighting "crayon." In addition the user can supply annotations in digital ink or text. Algorithms are described that summarize captured images based on the highlight strokes so as to provide overviews of many annotations as well as being able to "zoom in" on particular information about a given note and the context of that note.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Alias, Sketchbook Pro, http://www.alias.com/eng/ products-services/sketchbook_pro/index.shtml
 
3
Baird, H.S., Background structure in document images. International Journal of Pattern Recognition and Artificial Intelligence, 8(5):1013--1030, 1994.
4
 
5
6
7
8
 
9
E-Quill, http://www.rocketdownload.com/details/HTML/5337.htm
10
 
11
12
13
14
15
16
 
17
Nematode Songbook, http://mgd.nacse.org/hyperSQL/squiggles/songs.html.
 
18
 
19
20


Collaborative Colleagues:
Dan R. Olsen, Jr.: colleagues
Trent Taufer: colleagues
Jerry Alan Fails: colleagues