Compression techniques for still image and motion video

Leung S.O.; K. L. Chan; P. W. Fung

doi:10.1109/TENCON.1993.327998

Compression techniques for still image and motion video

Leung S.O.
, K. L. Chan
, P. W. Fung

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this projects is to develop compression technique for still image and motion video. Individual still image is compressed using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.H

Original language	English
Title of host publication	Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"
Publisher	IEEE
Pages	365-368
Volume	3
ISBN (Print)	0780312333
DOIs	https://doi.org/10.1109/TENCON.1993.327998
Publication status	Published - Oct 1993
Event	1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93) - Beijing, China Duration: 19 Oct 1993 → 21 Oct 1993

Conference

Conference	1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93)
Place	China
City	Beijing
Period	19/10/93 → 21/10/93

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title = "Compression techniques for still image and motion video",

abstract = "An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this projects is to develop compression technique for still image and motion video. Individual still image is compressed using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.H",

author = "Leung S.O. and Chan, \{K. L.\} and Fung, \{P. W.\}",

year = "1993",

month = oct,

doi = "10.1109/TENCON.1993.327998",

language = "English",

isbn = "0780312333",

volume = "3",

pages = "365--368",

booktitle = "Proceedings Tencon '93: 1993 IEEE Region 10 Conference on {"}Computer, Communication, Control and Power Engineering{"}",

publisher = "IEEE",

address = "United States",

note = "1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93) ; Conference date: 19-10-1993 Through 21-10-1993",

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S.O., L, Chan, KL & Fung, PW 1993, Compression techniques for still image and motion video. in Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". vol. 3, IEEE, pp. 365-368, 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93), Beijing, China, 19/10/93. https://doi.org/10.1109/TENCON.1993.327998

Compression techniques for still image and motion video. / S.O., Leung; Chan, K. L.; Fung, P. W.
Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". Vol. 3 IEEE, 1993. p. 365-368.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Chan, K. L.

AU - Fung, P. W.

PY - 1993/10

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N2 - An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this projects is to develop compression technique for still image and motion video. Individual still image is compressed using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.H

AB - An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this projects is to develop compression technique for still image and motion video. Individual still image is compressed using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.H

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M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780312333

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SP - 365

EP - 368

BT - Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"

PB - IEEE

T2 - 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93)

Y2 - 19 October 1993 through 21 October 1993

ER -

Compression techniques for still image and motion video

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