Automatic object extraction in images using embedded labels

  • Chee Sun Won

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To automatically generate images with the same foreground but different backgrounds, a watermark bit (e.g., binary 1 for foreground and 0 for background) can be inserted for each pixel location. Then, the embedded watermark bit can be automatically extracted and the background can be separated from the object. Note that the object extraction can be done successfully only if the watermarked image is intact. However, if the watermarked image goes through some post-processing including JPEG compression and cropping, then the pixel-wise watermark decoding may fail. To overcome this problem, in this paper, a block-wise watermark insertion and a block-wise MAP (maximum a posteriori) watermark decoding are proposed. Experimental results show that the proposed method is more robust that the pixel-wise decoding for various post-processing attacks.

Original languageEnglish
Title of host publicationProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008
Pages231-236
Number of pages6
DOIs
StatePublished - 2008
Event5th Canadian Conference on Computer and Robot Vision, CRV 2008 - Windsor, ON, Canada
Duration: 28 May 200830 May 2008

Publication series

NameProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008

Conference

Conference5th Canadian Conference on Computer and Robot Vision, CRV 2008
Country/TerritoryCanada
CityWindsor, ON
Period28/05/0830/05/08

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