Resampling for spatial scalability

Andrew Segall; Aggelos K Katsaggelos

doi:10.1109/ICIP.2006.312364

Resampling for spatial scalability

Andrew Segall^*, Aggelos K Katsaggelos

^*Corresponding author for this work

Electrical and Computer Engineering

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

14 Scopus citations

Abstract

Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework.

Original language	English (US)
Title of host publication	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages	181-184
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2006.312364
State	Published - Dec 1 2006
Event	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Duration: Oct 8 2006 → Oct 11 2006

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2006 IEEE International Conference on Image Processing, ICIP 2006
Country/Territory	United States
City	Atlanta, GA
Period	10/8/06 → 10/11/06

Keywords

Adaptive filters
Interpolation
Video coding

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2006.312364

Cite this

@inproceedings{dc988e1a4e0b448ea7878238de06bf7e,

title = "Resampling for spatial scalability",

abstract = "Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework.",

keywords = "Adaptive filters, Interpolation, Video coding",

author = "Andrew Segall and Katsaggelos, {Aggelos K}",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/ICIP.2006.312364",

language = "English (US)",

isbn = "1424404819",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "181--184",

booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",

note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Segall, A & Katsaggelos, AK 2006, Resampling for spatial scalability. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106496, Proceedings - International Conference on Image Processing, ICIP, pp. 181-184, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 10/8/06. https://doi.org/10.1109/ICIP.2006.312364

TY - GEN

T1 - Resampling for spatial scalability

AU - Segall, Andrew

AU - Katsaggelos, Aggelos K

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework.

AB - Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework.

KW - Adaptive filters

KW - Interpolation

KW - Video coding

UR - http://www.scopus.com/inward/record.url?scp=78649894485&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649894485&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2006.312364

DO - 10.1109/ICIP.2006.312364

M3 - Conference contribution

AN - SCOPUS:78649894485

SN - 1424404819

SN - 9781424404810

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 181

EP - 184

BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings

T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Resampling for spatial scalability

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this