Optimization principles and application performance evaluation of a multithreaded GPU using CUDA
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
The H.264 Advanced Video Compression Standard
The H.264 Advanced Video Compression Standard
High-speed inter-view frame mode decision procedure for multi-view video coding
Future Generation Computer Systems
Content-Aware Prediction Algorithm With Inter-View Mode Decision for Multiview Video Coding
IEEE Transactions on Multimedia
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
An Epipolar Geometry-Based Fast Disparity Estimation Algorithm for Multiview Image and Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Prediction Structures for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Low-Complexity Mode Decision for MVC
IEEE Transactions on Circuits and Systems for Video Technology
A Fast GPU-Based Motion Estimation Algorithm for HD 3D Video Coding
ISPA '12 Proceedings of the 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications
Hi-index | 0.00 |
H.264/MVC is a standard for supporting the sensation of 3D, based on coding from 2 (stereo) to N views. H.264/MVC adopts many coding options inherited from single view H.264/AVC, and thus its complexity is even higher, mainly because the number of processing views is higher. In this manuscript, we aim at an efficient parallelization of the most computationally intensive video encoding module for stereo sequences. In particular, inter prediction and its collaborative execution on a heterogeneous platform. The proposal is based on an efficient dynamic load balancing algorithm and on breaking encoding dependencies. Experimental results demonstrate the proposed algorithm's ability to reduce the encoding time for different stereo high definition sequences. Speed-up values of up to 90x were obtained when compared with the reference encoder on the same platform. Moreover, the proposed algorithm also provides a more energy-efficient approach and hence requires less energy than the sequential reference algorithm.