Identify regions of interest(ROI) for video watermark embedment with principle component analysis

R. Wang; Q. Cheng; T. Huang

doi:10.1145/354384.376371

Identify regions of interest(ROI) for video watermark embedment with principle component analysis

R. Wang, Q. Cheng, T. Huang

Internal Medicine

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spatial and temporal attacks, such as frame dropping, frame averaging that are not common in images. With video, the active change of watermark placement location serves as an effective counterattack measure. In this paper, we utilize principal components of joint feature observation of video frames to robustly determine the location of watermark embedment. The approach eliminates the need of storing original sequence and is robust against common attacks.

Original language	English
Pages	459-461
Number of pages	3
DOIs	https://doi.org/10.1145/354384.376371
State	Published - 2000
Event	8th ACM International Conference on Multimedia (ACM Multimedia 2000) - Los Angeles, CA, United States Duration: Oct 30 2000 → Nov 4 2000

Conference

Conference	8th ACM International Conference on Multimedia (ACM Multimedia 2000)
Country/Territory	United States
City	Los Angeles, CA
Period	10/30/00 → 11/4/00

Keywords

Clustering
PCA
Principal component analysis
Region of interest
Video watermarking

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1145/354384.376371

Cite this

@conference{f5850f5738dd46b183b5117423eb8fa5,

title = "Identify regions of interest(ROI) for video watermark embedment with principle component analysis",

abstract = "The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spatial and temporal attacks, such as frame dropping, frame averaging that are not common in images. With video, the active change of watermark placement location serves as an effective counterattack measure. In this paper, we utilize principal components of joint feature observation of video frames to robustly determine the location of watermark embedment. The approach eliminates the need of storing original sequence and is robust against common attacks.",

keywords = "Clustering, PCA, Principal component analysis, Region of interest, Video watermarking",

author = "R. Wang and Q. Cheng and T. Huang",

year = "2000",

doi = "10.1145/354384.376371",

language = "English",

pages = "459--461",

note = "8th ACM International Conference on Multimedia (ACM Multimedia 2000) ; Conference date: 30-10-2000 Through 04-11-2000",

}

TY - CONF

T1 - Identify regions of interest(ROI) for video watermark embedment with principle component analysis

AU - Wang, R.

AU - Cheng, Q.

AU - Huang, T.

PY - 2000

Y1 - 2000

N2 - The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spatial and temporal attacks, such as frame dropping, frame averaging that are not common in images. With video, the active change of watermark placement location serves as an effective counterattack measure. In this paper, we utilize principal components of joint feature observation of video frames to robustly determine the location of watermark embedment. The approach eliminates the need of storing original sequence and is robust against common attacks.

AB - The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spatial and temporal attacks, such as frame dropping, frame averaging that are not common in images. With video, the active change of watermark placement location serves as an effective counterattack measure. In this paper, we utilize principal components of joint feature observation of video frames to robustly determine the location of watermark embedment. The approach eliminates the need of storing original sequence and is robust against common attacks.

KW - Clustering

KW - PCA

KW - Principal component analysis

KW - Region of interest

KW - Video watermarking

UR - http://www.scopus.com/inward/record.url?scp=0034441549&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034441549&partnerID=8YFLogxK

U2 - 10.1145/354384.376371

DO - 10.1145/354384.376371

M3 - Paper

AN - SCOPUS:0034441549

SP - 459

EP - 461

T2 - 8th ACM International Conference on Multimedia (ACM Multimedia 2000)

Y2 - 30 October 2000 through 4 November 2000

ER -

Identify regions of interest(ROI) for video watermark embedment with principle component analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this