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» Learning to compress images and videos
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IWCF
2009
Springer
14 years 3 months ago
Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube
The Photo Response Non-Uniformity acts as a digital fingerprint that can be used to identify image sensors. This characteristic has been used in previous research to identify sca...
Wiger van Houten, Zeno Geradts
SAC
2003
ACM
14 years 1 months ago
An Adaptive Three-Dimensional DCT Compression Based on Motion Analysis
In this paper, we propose an adaptive 3D-DCT compression technique, which dynamically determines an optimal size of the video cube based on the motion analysis. The technique cons...
Borko Furht, Ken Gustafson, Hesong Huang, Oge Marq...
ICIP
2009
IEEE
14 years 9 months ago
Maximum A Posteriori Super-resolution Of Compressed Video Using A New Multichannel Image Prior
Super-resolution (SR) algorithms for compressed video aim at recovering high-frequency information and estimating a high-resolution (HR) image or a set of HR images from a sequenc...
TMM
2002
158views more  TMM 2002»
13 years 8 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
ECCV
2010
Springer
14 years 1 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...