Real-time lossless compression for HDTV video using a GPGPU

Guiwon Seo; Mielikainen Jarno; Sungwook Youn; Chulhee Lee

doi:10.1117/12.894987

Real-time lossless compression for HDTV video using a GPGPU

Guiwon Seo, Mielikainen Jarno, Sungwook Youn, Chulhee Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Recently, high quality video services have become widely available. To transmit or store these HD video programs, compression is required and various lossy compression schemes have been developed. On the other hand, there are some applications which require lossless compression. However, most conventional lossless coding methods have high complexity and require a long processing time. In this paper, a parallel lossless compression algorithm with low complexity is proposed. The proposed compression algorithm reduced HD video sequences about by half. Furthermore, the processing time was significantly reduced when using a GPGPU. The algorithm can be implemented in real time for HD video sequences.

Original language	English
Title of host publication	Satellite Data Compression, Communications, and Processing VII
DOIs	https://doi.org/10.1117/12.894987
Publication status	Published - 2011
Event	Satellite Data Compression, Communications, and Processing VII - San Diego, CA, United States Duration: 2011 Aug 23 → 2011 Aug 24

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8157
ISSN (Print)	0277-786X

Other

Other	Satellite Data Compression, Communications, and Processing VII
Country/Territory	United States
City	San Diego, CA
Period	11/8/23 → 11/8/24

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.894987

Cite this

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title = "Real-time lossless compression for HDTV video using a GPGPU",

abstract = "Recently, high quality video services have become widely available. To transmit or store these HD video programs, compression is required and various lossy compression schemes have been developed. On the other hand, there are some applications which require lossless compression. However, most conventional lossless coding methods have high complexity and require a long processing time. In this paper, a parallel lossless compression algorithm with low complexity is proposed. The proposed compression algorithm reduced HD video sequences about by half. Furthermore, the processing time was significantly reduced when using a GPGPU. The algorithm can be implemented in real time for HD video sequences.",

author = "Guiwon Seo and Mielikainen Jarno and Sungwook Youn and Chulhee Lee",

year = "2011",

doi = "10.1117/12.894987",

language = "English",

isbn = "9780819487674",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Satellite Data Compression, Communications, and Processing VII",

note = "Satellite Data Compression, Communications, and Processing VII ; Conference date: 23-08-2011 Through 24-08-2011",

}

Seo, G, Jarno, M, Youn, S & Lee, C 2011, Real-time lossless compression for HDTV video using a GPGPU. in Satellite Data Compression, Communications, and Processing VII., 81570Z, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8157, Satellite Data Compression, Communications, and Processing VII, San Diego, CA, United States, 11/8/23. https://doi.org/10.1117/12.894987

TY - GEN

T1 - Real-time lossless compression for HDTV video using a GPGPU

AU - Seo, Guiwon

AU - Jarno, Mielikainen

AU - Youn, Sungwook

AU - Lee, Chulhee

PY - 2011

Y1 - 2011

N2 - Recently, high quality video services have become widely available. To transmit or store these HD video programs, compression is required and various lossy compression schemes have been developed. On the other hand, there are some applications which require lossless compression. However, most conventional lossless coding methods have high complexity and require a long processing time. In this paper, a parallel lossless compression algorithm with low complexity is proposed. The proposed compression algorithm reduced HD video sequences about by half. Furthermore, the processing time was significantly reduced when using a GPGPU. The algorithm can be implemented in real time for HD video sequences.

AB - Recently, high quality video services have become widely available. To transmit or store these HD video programs, compression is required and various lossy compression schemes have been developed. On the other hand, there are some applications which require lossless compression. However, most conventional lossless coding methods have high complexity and require a long processing time. In this paper, a parallel lossless compression algorithm with low complexity is proposed. The proposed compression algorithm reduced HD video sequences about by half. Furthermore, the processing time was significantly reduced when using a GPGPU. The algorithm can be implemented in real time for HD video sequences.

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BT - Satellite Data Compression, Communications, and Processing VII

T2 - Satellite Data Compression, Communications, and Processing VII

Y2 - 23 August 2011 through 24 August 2011

ER -

Real-time lossless compression for HDTV video using a GPGPU

Abstract

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