2012
DOI: 10.1016/j.sysarc.2012.06.005
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Exploring parallelization techniques based on OpenMP in H.264/AVC encoder for embedded multi-core processor

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Cited by 6 publications
(9 citation statements)
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“…Firstly, GOPs are a coding-independent unit. Therefore, the GOP level is easy to implement; however, it has long latency [25] and large memory requirements [5]. Thus, paralleling the GOP level is inappropriate for shared memory architecture because of limited on-chip memory [25].…”
Section: Comparison Of the H264 Data-level Parallelismsmentioning
confidence: 99%
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“…Firstly, GOPs are a coding-independent unit. Therefore, the GOP level is easy to implement; however, it has long latency [25] and large memory requirements [5]. Thus, paralleling the GOP level is inappropriate for shared memory architecture because of limited on-chip memory [25].…”
Section: Comparison Of the H264 Data-level Parallelismsmentioning
confidence: 99%
“…Moreover, this level of coding is associated with large memory requirements. Thirdly, slicelevel coding has been associated with minimal synchronization cost, normal memory requirements, and good performance scalability [5]. The only drawbacks associated with this level are the increasing bit rate and degradation of visual quality when the number of slices increases [13].…”
Section: Comparison Of the H264 Data-level Parallelismsmentioning
confidence: 99%
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“…Multi-processor, multicore, multithreading encoding system and parallel algorithms have been discussed in many papers [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. This paper presents the frame level parallelism (FLP) approach and describes its complete implementation for H.264/AVC encoder using a multicore DSP TMS320C6472.…”
Section: Introductionmentioning
confidence: 99%