Title :
Spatial and Temporal Data Parallelization of Multi-view Video Encoding Algorithm
Author :
Pang, Yi ; Sun, Lifeng ; Guo, Songliu ; Yang, Shiqiang
Author_Institution :
Tsinghua Univ., Beijing
Abstract :
Multi-view video coding technology is proposed to resolve the problem of huge data storage and transmission for free-view and 3D interactive video. How to support real time multi-view video encoding which has high computing complexity with sharply increased multi-view video data is essential In this paper, we proposed a solution of spatial and temporal data parallelization for multi-view video encoding algorithm based on IBM cell multiprocessor system using selections of optimal theories & methods. The performance of our tasks distributing scheme is eight times faster than the serial algorithm, speedup is notable.
Keywords :
computational complexity; parallel algorithms; video coding; 3D interactive video; IBM Cell multiprocessor system; computing complexity; data storage; multiview video encoding algorithm; spatial data parallelization; temporal data parallelization; Cameras; Computer science; Decoding; Encoding; Memory; Motion compensation; Spatial resolution; Sun; Time sharing computer systems; Video coding; IBM Cell; Multi-view Video Coding (MVC); Selections of Optimal Parallel Theories & Methods; multiprocessor; parallel;
Conference_Titel :
Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on
Conference_Location :
Crete
Print_ISBN :
978-1-4244-1274-7
DOI :
10.1109/MMSP.2007.4412911
