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  1. Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics (EGGH-HPG'12)
  2. Algorithm and VLSI architecture for real-time 1080p60 video retargeting
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Design and novel uses of higher-dimensional rasterization
Maximizing parallelism in the construction of BVHs, octrees, and k-d trees
Algorithm and VLSI architecture for real-time 1080p60 video retargeting
Reducing aliasing artifacts through resampling
Adaptive scalable texture compression
Adaptive image space shading for motion and defocus blur
kANN on the GPU with shifted sorting
Power efficiency for software algorithms running on graphics processors
Clustered deferred and forward shading
Parallel patch-based texture synthesis
High-quality parallel depth-of-field using line samples
SRDH: specializing BVH construction and traversal order using representative shadow ray sets
Scalable ambient obscurance
Representing appearance and pre-filtering subpixel data in sparse voxel octrees

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Algorithm and VLSI architecture for real-time 1080p60 video retargeting

Content Provider ACM Digital Library
Author Greisen, Pierre Smolic, Aljosa Heinzle, Simon Lang, Manuel
Abstract Aspect ratio retargeting for streaming video has actively been researched in the past years. While the mobile market with its huge diversity of screen formats is one of the most promising application areas, no existing algorithm is efficient enough to be embedded in such devices. In this work, we devise an efficient video retargeting algorithm by following an algorithm-architecture co-design approach and we present the first FPGA implementation that is able to retarget full HD 1080p video at up to 60 frames per second. We furthermore show that our algorithm can be implemented on embedded processors at interactive framerates. Our hardware architecture only requires a modest amount of hardware resources, and is portable to a dedicated ASIC for the use in consumer electronic devices such as displays or mobile phones.
Starting Page 57
Ending Page 66
Page Count 10
File Format PDF
ISBN 9783905674415
ISSN 20798679
DOI 10.2312/EGGH/HPG12/057-066
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-06-25
Publisher Place Goslar
Access Restriction Subscribed
Content Type Text
Resource Type Article
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