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» Machine Learning for Video Compression: Macroblock Mode Deci...
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ICPR
2006
IEEE
14 years 6 months ago
Machine Learning for Video Compression: Macroblock Mode Decision
Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...
Christoph H. Lampert
TCSV
2008
139views more  TCSV 2008»
13 years 4 months ago
A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding
Abstract--The H.264 standard achieves much higher coding efficiency than the MPEG-2 standard, due to its improved inter-and intra-prediction modes at the expense of higher computat...
Gerardo Fernández-Escribano, Hari Kalva, Pe...
DATE
2010
IEEE
174views Hardware» more  DATE 2010»
13 years 2 months ago
An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusio
The H.264/AVC video encoder standard significantly improves the compression efficiency by using variable block-sized Inter (P) and Intra (I) Macroblock (MB) coding modes. In this p...
Muhammad Shafique, Bastian Molkenthin, Jörg H...
ICIP
2008
IEEE
14 years 6 months ago
Statistical learning based intra prediction in H.264
In this paper, we improve the performance of intra prediction and simplify mode decision procedure at the same time. For these works, we apply a statistical learning method such a...
Cheolhong An, Truong Q. Nguyen
ICIP
2007
IEEE
13 years 8 months ago
H.263 to H.264 Transconding using Data Mining
1 In this paper, we propose the use of data mining algorithms to create a macroblock partition mode decision algorithm for inter-frame prediction, to be used as part of a high-effi...
Gerardo Fernández-Escribano, Jens Bialkowsk...