Statistical feature extraction from compressed video sequences

WAC Fernando; CN Canagarajah; DR Bull

doi:10.1109/ICIP.2000.899608

Statistical feature extraction from compressed video sequences

WAC Fernando, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

380 Downloads (Pure)

Abstract

To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain

Translated title of the contribution	Statistical Feature Extraction from Compressed Video Sequences
Original language	English
Title of host publication	IEEE Int. Conf. on Image Processing (ICIP), Vancouver
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	925 - 928
Volume	3
ISBN (Print)	0780362977
DOIs	https://doi.org/10.1109/ICIP.2000.899608
Publication status	Published - Sept 2000
Event	International Conference on Image Processing (2000) - Vancouver, BC, Canada Duration: 1 Sept 2000 → …

Conference

Conference	International Conference on Image Processing (2000)
Country/Territory	Canada
City	Vancouver, BC
Period	1/09/00 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: W Fernando would like to express his gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work

Terms of use: Copyright © 2000 IEEE. Reprinted from International Conference on Image Processing, 2000 (ICIP 2000).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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Fernando IEEE ICIP 2000Accepted author manuscript, 329 KB

http://hdl.handle.net/1983/1497

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title = "Statistical feature extraction from compressed video sequences",

abstract = "To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain",

author = "WAC Fernando and CN Canagarajah and DR Bull",

note = "Rose publication type: Conference contribution Sponsorship: W Fernando would like to express his gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work Terms of use: Copyright {\textcopyright} 2000 IEEE. Reprinted from International Conference on Image Processing, 2000 (ICIP 2000). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing (2000) ; Conference date: 01-09-2000",

year = "2000",

month = sep,

doi = "10.1109/ICIP.2000.899608",

language = "English",

isbn = "0780362977",

volume = "3",

pages = "925 -- 928",

booktitle = "IEEE Int. Conf. on Image Processing (ICIP), Vancouver",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Fernando, WAC, Canagarajah, CN & Bull, DR 2000, Statistical feature extraction from compressed video sequences. in IEEE Int. Conf. on Image Processing (ICIP), Vancouver. vol. 3, Institute of Electrical and Electronics Engineers (IEEE), pp. 925 - 928, International Conference on Image Processing (2000), Vancouver, BC, Canada, 1/09/00. https://doi.org/10.1109/ICIP.2000.899608

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AU - Fernando, WAC

AU - Canagarajah, CN

AU - Bull, DR

N1 - Rose publication type: Conference contribution Sponsorship: W Fernando would like to express his gratitude and sincere appreciation to the University of Bristol and CVCP for providing financial support for this work Terms of use: Copyright © 2000 IEEE. Reprinted from International Conference on Image Processing, 2000 (ICIP 2000). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2000/9

Y1 - 2000/9

N2 - To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain

AB - To maximise the benefits from data compression, it would be advantageous to develop algorithms that do not require decompression to extract relevant information for post processing. In this paper, a novel technique for extracting variance is proposed for MPEG-2 compressed video using Parseval's theorem. Results show that the estimated variance closely matches with the actual variance. Furthermore, this technique is applied to identify scene changes in the compressed domain

U2 - 10.1109/ICIP.2000.899608

DO - 10.1109/ICIP.2000.899608

M3 - Conference Contribution (Conference Proceeding)

SN - 0780362977

VL - 3

SP - 925

EP - 928

BT - IEEE Int. Conf. on Image Processing (ICIP), Vancouver

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Conference on Image Processing (2000)

Y2 - 1 September 2000

ER -

Statistical feature extraction from compressed video sequences

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