Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yong-seok Seo

dblp:17/3605 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Digital forensics and information hiding · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding › watermarking
watermark detection
0.112006
Hybrid watermarking for improving detector performance · ACM Multimedia 2006
Digital forensics and information hiding
watermarking
0.112006
Hybrid watermarking for improving detector performance · ACM Multimedia 2006

Methods — techniques the papers use, named apart from their topics

quantization index modulation · 0.1auto-correlation function · 0.1
YearPublicationVenuePosition
2006 Hybrid watermarking for improving detector performance
abstract
In this paper, we describe the adaptive hybrid watermarking scheme to improve the watermark detector's performance. In the hybrid watermarking, the conventional spatial watermarking and QIM scheme are applied simultaneously to the spatial domain of the image. According to the edge-map of the image the spatial watermarking is applied to the flat region and the QIM is applied to the high frequency region including edge and texture. The threshold between flat and edge is decided empirically and watermark blocks are embedded repeatedly into the image. In the detection process, we show how to estimate the threshold value by ACF(Auto-Correlation Function). Experimental results show the proposed hybrid watermarking estimates the watermark signal correctly than the conventional spatial watermarking.
Won-gyum Kim, Yong-seok Seo, Young-Ho Suh
ACM Multimedia2