IEEE Transactions on Visualization and Computer Graphics
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
The kindest cut: enhancing the user experience of mobile tv through adequate zooming
Proceedings of the 15th international conference on Multimedia
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Multi-operator media retargeting
ACM SIGGRAPH 2009 papers
A system for retargeting of streaming video
ACM SIGGRAPH Asia 2009 papers
Motion-aware temporal coherence for video resizing
ACM SIGGRAPH Asia 2009 papers
Consumer video retargeting: context assisted spatial-temporal grid optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Motion-based video retargeting with optimized crop-and-warp
ACM SIGGRAPH 2010 papers
A comparative study of image retargeting
ACM SIGGRAPH Asia 2010 papers
Scalable and coherent video resizing with per-frame optimization
ACM SIGGRAPH 2011 papers
An FPGA Implementation of Information Theoretic Visual-Saliency System and Its Optimization
FCCM '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines
Practical temporal consistency for image-based graphics applications
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Robust Image Retargeting via Axis-Aligned Deformation
Computer Graphics Forum
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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.