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Content based automatic zooming: viewing documents on small displays
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International Multimedia Conference archive
Proceeding of the 16th ACM international conference on Multimedia table of contents
Vancouver, British Columbia, Canada
SESSION: Applications track short papers session 1 table of contents
Pages: 817-820  
Year of Publication: 2008
ISBN:978-1-60558-303-7
Authors
Patrick Chiu  FX Palo Alto Laboratory, Palo Alto, CA, USA
Koichi Fujii  Fuji Xerox, Kanagawa, Japan
Qiong Liu  FX Palo Alto Laboratory, Palo Alto, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 10,   Downloads (12 Months): 75,   Citation Count: 1
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ABSTRACT

We present an automatic zooming technique that leverages content analysis for viewing a document page on a small display such as a mobile phone or PDA. The page can come from a scanned document (bitmap image) or an electronic document (text and graphics data plus metadata). The page with text and graphics is segmented into regions. For each region, a scale-distortion function is constructed based on image analysis of the signal distortion that occurs at different scales. During interactive viewing of the document, as the user navigates by moving the viewport around the page, the zoom factor is automatically adjusted by optimizing the scale-distortion functions of the regions visible in the viewport.


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.

 
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Adobe Reader 7 for Symbian OS. Adobe Corp. (2007).
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Collaborative Colleagues:
Patrick Chiu: colleagues
Koichi Fujii: colleagues
Qiong Liu: colleagues