Fuzzy color quantization and its application to scene change detection

Fu Lai Korris Chung; Benny Y.M. Fung

doi:10.1145/973264.973290

Fuzzy color quantization and its application to scene change detection

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

2003 ACM. It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.

Original language	English
Title of host publication	Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003
Publisher	Association for Computing Machinery, Inc
Pages	157-162
Number of pages	6
ISBN (Electronic)	1581137788, 9781581137781
DOIs	https://doi.org/10.1145/973264.973290
Publication status	Published - 7 Nov 2003
Event	5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003 - Berkeley, United States Duration: 7 Nov 2003 → …

Conference

Conference	5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003
Country/Territory	United States
City	Berkeley
Period	7/11/03 → …

Keywords

Color histogram
Color quantization
Scene change detection
Video shot

ASJC Scopus subject areas

Media Technology
Software
Information Systems
Computer Science Applications
Signal Processing

More information

10.1145/973264.973290

Cite this

@inproceedings{4747eb5db60849e4ab4b829eeed4f6b2,

title = "Fuzzy color quantization and its application to scene change detection",

abstract = "2003 ACM. It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.",

keywords = "Color histogram, Color quantization, Scene change detection, Video shot",

author = "Chung, {Fu Lai Korris} and Fung, {Benny Y.M.}",

year = "2003",

month = nov,

day = "7",

doi = "10.1145/973264.973290",

language = "English",

pages = "157--162",

booktitle = "Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003",

publisher = "Association for Computing Machinery, Inc",

note = "5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003 ; Conference date: 07-11-2003",

}

Chung, FLK & Fung, BYM 2003, Fuzzy color quantization and its application to scene change detection. in Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003. Association for Computing Machinery, Inc, pp. 157-162, 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003, Berkeley, United States, 7/11/03. https://doi.org/10.1145/973264.973290

Fuzzy color quantization and its application to scene change detection. / Chung, Fu Lai Korris; Fung, Benny Y.M.

Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003. Association for Computing Machinery, Inc, 2003. p. 157-162.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Fuzzy color quantization and its application to scene change detection

AU - Chung, Fu Lai Korris

AU - Fung, Benny Y.M.

PY - 2003/11/7

Y1 - 2003/11/7

N2 - 2003 ACM. It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.

AB - 2003 ACM. It is both impractical and unnecessary to use true color, i.e., 24-bit colors, for most multimedia processing tasks since the computational complexity is extremely high and adjacent colors in the color model do not contribute much to visual and computational differences. Color quantization can reduce these complexities by using less number of bits to represent the 24-bit true color space. In this paper, we investigate the fuzzy color quantization technique based on the fact that the colors located nearby should not be quantized very differently. We introduce this technique to color histogram construction and show that it achieves better performance than uniform color quantization in video scene change detection using different types of movies.

KW - Color histogram

KW - Color quantization

KW - Scene change detection

KW - Video shot

UR - http://www.scopus.com/inward/record.url?scp=67649843919&partnerID=8YFLogxK

U2 - 10.1145/973264.973290

DO - 10.1145/973264.973290

M3 - Conference article published in proceeding or book

SP - 157

EP - 162

BT - Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003

PB - Association for Computing Machinery, Inc

T2 - 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2003

Y2 - 7 November 2003

ER -

Fuzzy color quantization and its application to scene change detection

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this