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Smart Resizing

2023
Image resizing is an important image processing task that is widely implemented in the fields of digital and print media. Despite its widespread use, few image resizing algorithms or workflows take advantage of modern developments in deep-learning computer vision models to improve the resizing output while also giving the user directorial control.
Elliot Dickman, Paul J. Diefenbach
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Landscape specification resizing

2014 XL Latin American Computing Conference (CLEI), 2014
In this work, we introduce a method for resizing a landscape specification, i.e., a vector model containing a set of objects present in a virtual environment. Our goal is to change the landscape dimensions while keeping its overall appearance. Our method is based on the insertion and removal of objects in the specification, followed by some adjustments
Cruz, Leandro   +5 more
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Resizing beyond widgets

CHI '05 Extended Abstracts on Human Factors in Computing Systems, 2005
The most common technique for resizing 3D objects in virtual environments is the use of 3D widgets. However, such techniques often exhibit usability problems due to difficulties in selecting and manipulating the widgets. We have developed two novel interaction techniques for resizing objects in immersive VEs. Our two techniques, the Pointer Orientation-
John F. Lucas   +2 more
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Revisiting Cache Resizing

International Journal of Parallel Programming, 2013
We present a novel framework to dynamically reconfigure on-chip memory resources according to the changing behavior of the executing applications. Our framework enables smooth scaling (i.e., resizing) of the on-chip caches targeting both performance and power efficiency.
Georgios Keramidas   +1 more
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Intelligent ad resizing

Proceedings of the 19th international conference on World wide web, 2010
Over the last two decades, the World Wide Web has grown drastically as a market, with image and text advertising as one of the leading revenue streams. In practice, a web publisher designates a rectangular region, and an advertiser designs an ad to fit that region.
Anthony P. Badali   +2 more
openaire   +1 more source

Pupil-resizing Fourier ptychography

SPIE Proceedings, 2015
We present a coherent approach of complex amplitude reconstruction, termed aperture-resizing Fourier ptychography (FP). The reported approach resizes the pupil size of an imaging system and captures the corresponding intensity images. The acquired images are then synthesized in the frequency domain via iteration computation to reconstruct a complex ...
Zongliang Xie   +6 more
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High quality image resizing

Neurocomputing, 2014
An increasing amount of display devices with fixed sizes call for an adaptive strategy for optimal display. For this purpose, content aware image resizing techniques are developed. Previous works mainly lay their attention on the shrinkage operation of the examined image. Less efforts are paid on the expansion manipulation.
Wang, Qi, Yuan, Yuan
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Resizing by symmetry-summarization

ACM SIGGRAPH Asia 2010 papers on - SIGGRAPH ASIA '10, 2010
Image resizing can be achieved more effectively if we have a better understanding of the image semantics. In this paper, we analyze the translational symmetry , which exists in many real-world images. By detecting the symmetric lattice in an image, we can summarize , instead of only ...
Huisi Wu   +5 more
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Scheduling resizable parallel applications

2009 IEEE International Symposium on Parallel & Distributed Processing, 2009
Most conventional parallel job schedulers only support static scheduling thereby restricting schedulers from being able to modify the number of processors allocated to parallel applications at runtime. The drawbacks of static scheduling can be overcome by using scheduling policies that can exploit dynamic resizability in distributed-memory parallel ...
R. Sudarsan, C.J. Ribbens
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Cropping and Resizing Images

2021
In the previous two chapters, we have transformed pictures by rearranging their pixels or by applying color transformations. Now we will look at operations that change the size of an image, either by extracting a sub-image or by merging pixels to produce a compressed version of the original.
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