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Koichi Fujii

dblp:65/2210 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › text visualization
document visualization
0.112008
Content based automatic zooming: viewing documents on small displays · ACM Multimedia 2008
Interaction techniques and input
mobile interaction
0.012008
Content based automatic zooming: viewing documents on small displays · ACM Multimedia 2008

Methods — techniques the papers use, named apart from their topics

scale-distortion optimization · 0.2image analysis · 0.2
YearPublicationVenuePosition
2008 Content based automatic zooming: viewing documents on small displays
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.
Patrick Chiu, Koichi Fujii, Qiong Liu 0003
ACM Multimedia2