Top: traditional zooming; middle: Retargeting+Zooming; bottom: our Interactive Content-Aware Zooming method. We use the ˇ±power
stationˇ± image (7475x1999 pixels) and varying zoom levels. Traditional zooming wastes a lot of screen space at lower zoom levels, with black
bands covering most of the screen and a significant loss of resolution (first row, column a). The Retargeting+Zooming approach better utilizes
the screen space (second row, column a) but suffers from heavy distortion at higher zoom levels (second row, column d). In comparison, our
method shows global, but approximate views for lower zoom levels, and local, but accurate views for higher zoom levels (third row).
Abstract
We propose a novel, interactive content-aware zooming operator
that allows effective and efficient visualization of high resolution
images on small screens, which may have different aspect ratios
compared to the input images. Our approach applies an image retargeting
method in order to fit an entire image into the limited screen
space. This can provide global, but approximate views for lower
zoom levels. However, as we zoom more closely into the image,
we continuously unroll the distortion to provide local, but more detailed
and accurate views for higher zoom levels. In addition, we
propose to use an adaptive view-dependent mesh to achieve high
retargeting quality, while maintaining interactive performance. We
demonstrate the effectiveness of the proposed operator by comparing
it against the traditional zooming approach, and a method stemming
from a direct combination of existing works.
@article{ICAZ10,
author = {Pierre-Yves Laffont and Jong Yun Jun and Christian Wolf and Yu-Wing Tai and Khalid Idrissi and George Drettakis and Sung-eui Yoon},
title = {Interactive Content-Aware Zooming,
Under submission, 10
}
