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

R. Wang, Q. Cheng, T. Huang

Research output: Contribution to conferencePaperpeer-review

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 languageEnglish (US)
Pages459-461
Number of pages3
DOIs
StatePublished - 2000
Externally publishedYes
Event8th ACM International Conference on Multimedia (ACM Multimedia 2000) - Los Angeles, CA, United States
Duration: Oct 30 2000Nov 4 2000

Other

Other8th ACM International Conference on Multimedia (ACM Multimedia 2000)
Country/TerritoryUnited States
CityLos Angeles, CA
Period10/30/0011/4/00

Keywords

  • Clustering
  • PCA
  • Principal component analysis
  • Region of interest
  • Video watermarking

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Identify regions of interest(ROI) for video watermark embedment with principle component analysis'. Together they form a unique fingerprint.

Cite this