A Highly Parallel and Scalable Motion Estimation Algorithm with GPU for HEVC Article Swipe
Yungang Xue
,
Huayou Su
,
Ju Ren
,
Mei Wen
,
Chunyuan Zhang
,
Liquan Xiao
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1155/2017/1431574
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1155/2017/1431574
We propose a highly parallel and scalable motion estimation algorithm, named multilevel resolution motion estimation ( MLRME for short), by combining the advantages of local full search and downsampling. By subsampling a video frame, a large amount of computation is saved. While using the local full-search method, it can exploit massive parallelism and make full use of the powerful modern many-core accelerators, such as GPU and Intel Xeon Phi. We implanted the proposed MLRME into HM12.0, and the experimental results showed that the encoding quality of the MLRME method is close to that of the fast motion estimation in HEVC, which declines by less than 1.5%. We also implemented the MLRME with CUDA, which obtained 30–60x speed-up compared to the serial algorithm on single CPU. Specifically, the parallel implementation of MLRME on a GTX 460 GPU can meet the real-time coding requirement with about 25 fps for the video format, while, for , the performance is more than 100 fps.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2017/1431574
- http://downloads.hindawi.com/journals/sp/2017/1431574.pdf
- OA Status
- hybrid
- Cited By
- 9
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2762590170
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2762590170Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2017/1431574Digital Object Identifier
- Title
-
A Highly Parallel and Scalable Motion Estimation Algorithm with GPU for HEVCWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Yungang Xue, Huayou Su, Ju Ren, Mei Wen, Chunyuan Zhang, Liquan XiaoList of authors in order
- Landing page
-
https://doi.org/10.1155/2017/1431574Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/sp/2017/1431574.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/sp/2017/1431574.pdfDirect OA link when available
- Concepts
-
Computer science, Algorithm, Scalability, CUDA, Motion estimation, Artificial intelligence, Speedup, Parallel computing, Computational science, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 2, 2022: 2, 2020: 1, 2019: 1Per-year citation counts (last 5 years)
- References (count)
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12Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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