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ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video
Automatic facial expression analysis is an important aspect of Human Machine Interaction as the face is an important communicative medium. We use our face to signal interest, disa...
Michel François Valstar, Maja Pantic
ICPR
2006
IEEE
14 years 8 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
DDECS
2007
IEEE
102views Hardware» more  DDECS 2007»
14 years 2 months ago
IP Integration Overhead Analysis in System-on-Chip Video Encoder
—Current system-on-chip implementations integrate IP blocks from different vendors. Typical problems are incompatibility and integration overheads. This paper presents a case stu...
Antti Rasmus, Ari Kulmala, Erno Salminen, Timo D. ...
ICIP
2004
IEEE
14 years 9 months ago
A lagrangian optimized rate control algorithm for the H.264/AVC encoder
The H.264/AVC video coding standard has been recently proposed by the Joint Video Team of ITU-T and MPEG experts. The AVC encoder achieves video bitstreams at the same quality as ...
Mohammad Mahdi Ghandi, Mohammed Ghanbari
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
13 years 6 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai