Motion Estimation for Video Coding Standards
Journal of VLSI Signal Processing Systems - Special issue on recent development in video: algorithms, implementation and applications
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
A QoS-Enabled Transmission Scheme for MPEG Video Streaming
Real-Time Systems
Fast variable-size block motion estimation using merging procedure with an adaptive threshold
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Adaptive rate control for advanced video coding
Adaptive rate control for advanced video coding
A rate control scheme for H.26L video transmission
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Estimating the Optimal Quantization Parameter in H.264
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 12.05 |
This paper deals with the multiobjective definition of video compression and its optimization. The optimization will be done using NSGA-II, a well-tested and highly accurate algorithm with a high convergence speed developed for solving multiobjective problems. Video compression is defined as a problem including two competing objectives. We try to find a set of optimal, so-called Pareto-optimal solutions, instead of a single optimal solution. The two competing objectives are quality and compression ratio maximization. The optimization will be achieved using a new patent pending codec, called MIJ2K, also outlined in this paper. Video will be compressed with the MIJ2K codec applied to some classical videos used for performance measurement, selected from the Xiph.org Foundation repository. The result of the optimization will be a set of near-optimal encoder parameters. We also present the convergence of NSGA-II with different encoder parameters and discuss the suitability of MOEAs as opposed to classical search-based techniques in this field.