Fade and dissolve detection in uncompressed and compressed video sequences

WAC Fernando; CN Canagarajah; DR Bull

doi:10.1109/ICIP.1999.817121

Fade and dissolve detection in uncompressed and compressed video sequences

WAC Fernando, CN Canagarajah, DR Bull

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

62 Citations (Scopus)

408 Downloads (Pure)

Abstract

Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation is used to evaluate statistical features both in H.263 and MPEG-2 compressed video. Results show that these special effects can be identified accurately with the proposed scheme

Translated title of the contribution	Fade and Dissolve detection in Uncompressed and Compressed Video Sequences
Original language	English
Title of host publication	Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	299 - 303
Volume	3
ISBN (Print)	0780354672
DOIs	https://doi.org/10.1109/ICIP.1999.817121
Publication status	Published - Oct 1999
Event	International Conference on Image Processing - Kobe, Japan Duration: 1 Oct 1999 → …

Conference

Conference	International Conference on Image Processing
Country/Territory	Japan
City	Kobe
Period	1/10/99 → …

Bibliographical note

Other: Paper No. 915
Rose publication type: Conference contribution

Sponsorship: WAC 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 © 1999 IEEE. Reprinted from International Conference on Image Processing, 1999 (ICIP 99).

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 pubs-permissions@ieee.org.

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

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Fernando IEEE ICIP 1999Accepted author manuscript, 397 KB

http://hdl.handle.net/1983/1520

Cite this

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title = "Fade and dissolve detection in uncompressed and compressed video sequences",

abstract = "Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation is used to evaluate statistical features both in H.263 and MPEG-2 compressed video. Results show that these special effects can be identified accurately with the proposed scheme",

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

note = "Other: Paper No. 915 Rose publication type: Conference contribution Sponsorship: WAC 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} 1999 IEEE. Reprinted from International Conference on Image Processing, 1999 (ICIP 99). 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 pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing ; Conference date: 01-10-1999",

year = "1999",

month = oct,

doi = "10.1109/ICIP.1999.817121",

language = "English",

isbn = "0780354672",

volume = "3",

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booktitle = "Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan",

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Fernando, WAC, Canagarajah, CN & Bull, DR 1999, Fade and dissolve detection in uncompressed and compressed video sequences. in Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan. vol. 3, Institute of Electrical and Electronics Engineers (IEEE), pp. 299 - 303, International Conference on Image Processing, Kobe, Japan, 1/10/99. https://doi.org/10.1109/ICIP.1999.817121

Fade and dissolve detection in uncompressed and compressed video sequences. / Fernando, WAC; Canagarajah, CN; Bull, DR.

Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan. Vol. 3 Institute of Electrical and Electronics Engineers (IEEE), 1999. p. 299 - 303.

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

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N1 - Other: Paper No. 915 Rose publication type: Conference contribution Sponsorship: WAC 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 © 1999 IEEE. Reprinted from International Conference on Image Processing, 1999 (ICIP 99). 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 pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 1999/10

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N2 - Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation is used to evaluate statistical features both in H.263 and MPEG-2 compressed video. Results show that these special effects can be identified accurately with the proposed scheme

AB - Automatic identification of special effects is a prerequisite for video indexing and intelligent video encoding. In this paper we present an algorithm for fade and dissolve scene change detection in video sequences. We use statistical features of the images to identify these special effects in uncompressed video. DC-estimation is used to evaluate statistical features both in H.263 and MPEG-2 compressed video. Results show that these special effects can be identified accurately with the proposed scheme

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DO - 10.1109/ICIP.1999.817121

M3 - Conference Contribution (Conference Proceeding)

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BT - Proc. IEEE International Conference on Image Processing (ICIP 99), Kobe, Japan

PB - Institute of Electrical and Electronics Engineers (IEEE)

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ER -

Fade and dissolve detection in uncompressed and compressed video sequences

Abstract

Conference

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