Algorithmic optimizations for software-only MPEG-2 encoding

Ramkishor, K.; Gupta, Pooja; Raghu, T. S.; Suman, K.

doi:10.1109/tce.2004.1277886

Cited by 3 publications

(3 citation statements)

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“…Algorithms that can help in reducing motion estimation load [1,13] lead to a substantial decrease in the overall encoder load. In this paper, the focus is on architectural optimizations rather than modular level algorithmic optimizations.…”

Section: Motion Estimationmentioning

confidence: 99%

“…A real-time codec is required to encode and decode a bit-stream as soon as a frame becomes available thus subjecting significant computational constraints on the underlying computing platform. A lot of research work has recently been reported [1][2][3][4] that addresses complexity reductions in video encoders. Most of the existing work concentrates on development of fast algorithms for various modules of the encoder.…”

Section: Introductionmentioning

confidence: 99%

“…1. Algorithmic optimizations, in the past, have been applied to individual modules as shown in the figure, as they take the most time during execution [1,5,6]. Similarly, processor specific optimizations have been carried out for Pentium processor in [7] and TI Velociti architecture in [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Memory and architectural optimizations for soft video encoders

Nasim

Masud

Khan

2008

J Real-Time Image Proc

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This paper presents a set of platform-independent architectural optimizations for improving the performance of software-based standard video coders. These denote changes that affect the underlying memory model and physical architecture of the encoder with an objective of achieving maximum encoder performance with respect to execution time and memory usage. The coding quality does not suffer due to these modifications because the algorithm itself is not changed. An interface driven methodology has been developed to identify and ameliorate performance bottlenecks for any encoder. Appropriate data flow between components has been proposed so that memory intensive operations including memory accesses and copying are minimized. The proposed methods have been applied to an MPEG4 reference implementation to demonstrate the computational improvements achieved while avoiding any algorithmic modifications. These techniques have been shown to result in improvements in the range of 15-50% in the overall encoding time of a video codec on a general-purpose computing platform. The resulting implementation is also shown to be faster than some well-known open source solutions.

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Section: Motion Estimationmentioning

confidence: 99%