High performance missing data detection and interpolation for video compression and restoration applications

Michele Ceccarelli, Giuliano Laccetti, Alfredo Petrosino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we explore the use of motion estimation methods to restore noisy motion pictures coming from degraded film within the framework of high-performance computing environments. Specifically, we investigate how the use of block-matching methods can outperform gradient-based methods (which are more sensible to little movements) also in the case of blotch detection in degraded film. Also, we show how a proposed method characterized by the use of a set of features together with multiresolution can be at the same time robust to noise and effective in motion compensated filtering, mainly concerning films that contain both large amounts of noise and fast/large motion objects in their frames. The peculiarities of the method are discussed and the model performance is assessed and compared with examples.

Original languageEnglish
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0769519261, 9780769519265
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventInternational Parallel and Distributed Processing Symposium, IPDPS 2003 - Nice, France
Duration: 22 Apr 200326 Apr 2003

Other

OtherInternational Parallel and Distributed Processing Symposium, IPDPS 2003
CountryFrance
CityNice
Period22/4/0326/4/03

Fingerprint

Video Compression
Image compression
Missing Data
Restoration
Interpolation
High Performance
Interpolate
Motion pictures
Motion estimation
Motion
Block Matching
Motion Estimation
Performance Model
Multiresolution
Filtering
Gradient
Computing

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Software

Cite this

Ceccarelli, M., Laccetti, G., & Petrosino, A. (2003). High performance missing data detection and interpolation for video compression and restoration applications. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003 [1213425] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2003.1213425

High performance missing data detection and interpolation for video compression and restoration applications. / Ceccarelli, Michele; Laccetti, Giuliano; Petrosino, Alfredo.

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003. Institute of Electrical and Electronics Engineers Inc., 2003. 1213425.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ceccarelli, M, Laccetti, G & Petrosino, A 2003, High performance missing data detection and interpolation for video compression and restoration applications. in Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003., 1213425, Institute of Electrical and Electronics Engineers Inc., International Parallel and Distributed Processing Symposium, IPDPS 2003, Nice, France, 22/4/03. https://doi.org/10.1109/IPDPS.2003.1213425
Ceccarelli M, Laccetti G, Petrosino A. High performance missing data detection and interpolation for video compression and restoration applications. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003. Institute of Electrical and Electronics Engineers Inc. 2003. 1213425 https://doi.org/10.1109/IPDPS.2003.1213425
Ceccarelli, Michele ; Laccetti, Giuliano ; Petrosino, Alfredo. / High performance missing data detection and interpolation for video compression and restoration applications. Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003. Institute of Electrical and Electronics Engineers Inc., 2003.
@inproceedings{c9defc2a40d2476bbcd16ef43ba4d220,
title = "High performance missing data detection and interpolation for video compression and restoration applications",
abstract = "In this paper, we explore the use of motion estimation methods to restore noisy motion pictures coming from degraded film within the framework of high-performance computing environments. Specifically, we investigate how the use of block-matching methods can outperform gradient-based methods (which are more sensible to little movements) also in the case of blotch detection in degraded film. Also, we show how a proposed method characterized by the use of a set of features together with multiresolution can be at the same time robust to noise and effective in motion compensated filtering, mainly concerning films that contain both large amounts of noise and fast/large motion objects in their frames. The peculiarities of the method are discussed and the model performance is assessed and compared with examples.",
author = "Michele Ceccarelli and Giuliano Laccetti and Alfredo Petrosino",
year = "2003",
doi = "10.1109/IPDPS.2003.1213425",
language = "English",
isbn = "0769519261",
booktitle = "Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - High performance missing data detection and interpolation for video compression and restoration applications

AU - Ceccarelli, Michele

AU - Laccetti, Giuliano

AU - Petrosino, Alfredo

PY - 2003

Y1 - 2003

N2 - In this paper, we explore the use of motion estimation methods to restore noisy motion pictures coming from degraded film within the framework of high-performance computing environments. Specifically, we investigate how the use of block-matching methods can outperform gradient-based methods (which are more sensible to little movements) also in the case of blotch detection in degraded film. Also, we show how a proposed method characterized by the use of a set of features together with multiresolution can be at the same time robust to noise and effective in motion compensated filtering, mainly concerning films that contain both large amounts of noise and fast/large motion objects in their frames. The peculiarities of the method are discussed and the model performance is assessed and compared with examples.

AB - In this paper, we explore the use of motion estimation methods to restore noisy motion pictures coming from degraded film within the framework of high-performance computing environments. Specifically, we investigate how the use of block-matching methods can outperform gradient-based methods (which are more sensible to little movements) also in the case of blotch detection in degraded film. Also, we show how a proposed method characterized by the use of a set of features together with multiresolution can be at the same time robust to noise and effective in motion compensated filtering, mainly concerning films that contain both large amounts of noise and fast/large motion objects in their frames. The peculiarities of the method are discussed and the model performance is assessed and compared with examples.

UR - http://www.scopus.com/inward/record.url?scp=84947276932&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947276932&partnerID=8YFLogxK

U2 - 10.1109/IPDPS.2003.1213425

DO - 10.1109/IPDPS.2003.1213425

M3 - Conference contribution

SN - 0769519261

SN - 9780769519265

BT - Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

PB - Institute of Electrical and Electronics Engineers Inc.

ER -