Time-space weighting for image sequence quantization

Hagit Zabrodsky Hel-Or

doi:10.1007/3-540-60697-1_126

Time-space weighting for image sequence quantization

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

Abstract

This paper introduces a method for quantization of image-sequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows flexibility in the choice of weights. Assigning weights proportional to the space gradients and the time gradients is shown to produce better quantization of color image sequences.

Original language	English
Title of host publication	Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings
Editors	Roland T. Chin, Ting-Chuen Pong, Avi C. Naiman, Horace H.S. Ip
Publisher	Springer Verlag
Pages	389-396
Number of pages	8
ISBN (Print)	9783540606970
DOIs	https://doi.org/10.1007/3-540-60697-1_126
State	Published - 1995
Externally published	Yes
Event	3rd International Computer Science Conference, ICSC 1995 - Hong Kong, Hong Kong Duration: 11 Dec 1995 → 13 Dec 1995

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1024
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Computer Science Conference, ICSC 1995
Country/Territory	Hong Kong
City	Hong Kong
Period	11/12/95 → 13/12/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-60697-1_126

Cite this

Hel-Or, H. Z. (1995). Time-space weighting for image sequence quantization. In R. T. Chin, T.-C. Pong, A. C. Naiman, & H. H. S. Ip (Eds.), Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings (pp. 389-396). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024). Springer Verlag. https://doi.org/10.1007/3-540-60697-1_126

Hel-Or, Hagit Zabrodsky. / Time-space weighting for image sequence quantization. Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. editor / Roland T. Chin ; Ting-Chuen Pong ; Avi C. Naiman ; Horace H.S. Ip. Springer Verlag, 1995. pp. 389-396 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Hel-Or, {Hagit Zabrodsky}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1995.; 3rd International Computer Science Conference, ICSC 1995 ; Conference date: 11-12-1995 Through 13-12-1995",

year = "1995",

doi = "10.1007/3-540-60697-1_126",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Hel-Or, HZ 1995, Time-space weighting for image sequence quantization. in RT Chin, T-C Pong, AC Naiman & HHS Ip (eds), Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1024, Springer Verlag, pp. 389-396, 3rd International Computer Science Conference, ICSC 1995, Hong Kong, Hong Kong, 11/12/95. https://doi.org/10.1007/3-540-60697-1_126

Time-space weighting for image sequence quantization. / Hel-Or, Hagit Zabrodsky.
Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. ed. / Roland T. Chin; Ting-Chuen Pong; Avi C. Naiman; Horace H.S. Ip. Springer Verlag, 1995. p. 389-396 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1024).

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

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AB - This paper introduces a method for quantization of image-sequences which takes into account the human sensitivities in both space and time. A weighted clustering approach is used for quantization which allows flexibility in the choice of weights. Assigning weights proportional to the space gradients and the time gradients is shown to produce better quantization of color image sequences.

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SN - 9783540606970

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings

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A2 - Ip, Horace H.S.

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Hel-Or HZ. Time-space weighting for image sequence quantization. In Chin RT, Pong TC, Naiman AC, Ip HHS, editors, Image Analysis Applications and Computer Graphics - 3rd International Computer Science Conference ICSC 1995, Proceedings. Springer Verlag. 1995. p. 389-396. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-60697-1_126

Time-space weighting for image sequence quantization

Abstract

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Bibliographical note

ASJC Scopus subject areas

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