Demo Data from EDBT 2026 / reviewers in the wild / expert
Chia-Hsiung Liu
dblp:85/2027
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-author
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% | |
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding › watermarking › audio watermarking
speech watermarking |
0.1 | 1 | 2007 | Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of Attacks · IEEE Trans. Speech Audio Process. 2007 |
Digital forensics and information hiding
watermarking |
0.1 | 1 | 2007 | Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of Attacks · IEEE Trans. Speech Audio Process. 2007 |
Audio and music processing › speech coding
code-excited linear prediction |
0.0 | 1 | 2007 | Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of Attacks · IEEE Trans. Speech Audio Process. 2007 |
Audio and music processing
speech coding |
0.0 | 1 | 2007 | Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of Attacks · IEEE Trans. Speech Audio Process. 2007 |
Methods — techniques the papers use, named apart from their topics
line spectrum frequency feature · 0.1least significant bit substitution · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Data hiding in inter and intra prediction modes of H.264/AVCabstractIn H.264/AVC, many block types are employed to conduct inter and intra coding for determining the best one to achieve good coding efficiency. Accordingly, watermark data can be effectively embedded in these block types that are classified into three groups representing ‘1,’ ‘0’ and no datum. In inter coding, the block types of 16×16, 8×8 and 4×4 represent the watermark bit ‘1,’ and the block types of 16×8, 8 ×16, 8×4 and 4×8 denote the watermark bit ‘0.’ In intra coding, the block type of 8×8 is the watermark bit ‘1,’ and the block types of 16×16 and 4×4 represent the watermark bit ‘0.’ Other block types in inter and intra coding are treated as no datum. In the abovementioned grouping, the hierarchical and interleaving correlations of block types in the same and different groups, respectively, are adopted to minimize the performance distortion. Particularly, each frame is also pre-defined by a watermarking area to preserve coding performance and increase watermarking robustness. The computer simulations demonstrate that the proposed watermarking scheme can effectively hide data at a little increasing bit rate and almost no quality degradation. Chia-Hsiung Liu, Oscal Tzyh-Chiang Chen |
ISCAS | 1 |
| 2007 | Content-Dependent Watermarking Scheme in Compressed Speech With Identifying Manner and Location of AttacksabstractAs speech compression technologies have advanced, digital recording devices have become increasingly popular. However, data formats used in popular speech codecs are known a priori, such that compressed data can be modified easily via insertion, deletion, and replacement. This work proposes a content-dependent watermarking scheme suitable for codebook-excited linear prediction (CELP)-based speech codec that ensures the integrity of compressed speech data. Speech data are initially partitioned into many groups, each of which includes multiple speech frames. The watermark embedded in each frame is then generated according to the line spectrum frequency (LSF) feature in the current frame, the pitch extracted from the succeeding frame, the watermark embedded in the preceding frame, and the group index which is determined by the location of the current frame. Finally, some of the least significant bits (LSBs) of the indices indicating the excitation pulse positions or excitation vectors are substituted for the watermark. Conventional watermarking schemes can only detect whether compressed speech data are intact. They cannot determine where compressed speech data are altered by insertion, deletion, or replacement, whereas the proposed scheme can. Experiments established that the proposed scheme used in the G.723.1 6.3 kb/s speech codecs embeds 12 bits in each compressed speech frame with 189 bits, and only decreases the perceptual evaluation of speech quality (PESQ) by 0.11. Additionally, its accuracy in detecting the locations of attacked frames is very high, with only two normal frames mistaken as attacked frames. Therefore, the proposed watermarking scheme effectively ensures the integrity of compressed speech data. Oscal Tzyh-Chiang Chen, Chia-Hsiung Liu |
IEEE Trans. Speech Audio Process. | 2 |