Demo Data from EDBT 2026 / reviewers in the wild / expert
Niann T. Cheng
dblp:122/6661 · also Niann Tsyk Cheng
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.
| Computer graphics and multimedia
1 paper |
Image and video coding · 100% | |
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding
image compression |
0.0 | 1 | 1992 | The ERPC: an efficient error-resilient technique for encoding positional information or sparse data · IEEE Trans. Commun. 1992 |
Image and video coding › transform coding
subband coding |
0.0 | 1 | 1992 | The ERPC: an efficient error-resilient technique for encoding positional information or sparse data · IEEE Trans. Commun. 1992 |
Coding theory › error-correcting codes › error detection and correction
error-resilient coding |
0.0 | 1 | 1992 | The ERPC: an efficient error-resilient technique for encoding positional information or sparse data · IEEE Trans. Commun. 1992 |
Coding theory
source coding |
0.0 | 1 | 1992 | The ERPC: an efficient error-resilient technique for encoding positional information or sparse data · IEEE Trans. Commun. 1992 |
Methods — techniques the papers use, named apart from their topics
vector quantization · 0.0fixed-rate coding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | The ERPC: an efficient error-resilient technique for encoding positional information or sparse dataabstractIn many source and data compression schemes, information relating to positions of high-energy samples or areas of importance often needs to be relayed to the decoder. The error resilient positional code (ERPC) is an efficient fixed-rate coding scheme for encoding such positional information, or, equivalently, sparse binary data patterns. It has also been designed with good channel error robustness properties, such that the decoded data quality degrades gracefully with worsening channel conditions, without the possibility of catastrophic breakdown or loss of sync. In this work, the coding efficiency of the ERPC is compared to a few other standard schemes. It is found to be efficient and its error extension in terms of the expected number of samples corrupted per bit error is reported and shown to be low and noncatastrophic. The ERPC is applied to an image coding example based on subband coding and vector quantization. It results in an efficient adaptive codec capable of operating in harsh channel conditions, without the aid of error correction or detection techniques.> Niann T. Cheng, Nick G. Kingsbury |
IEEE Trans. Commun. | 1 |
| 1990 | Efficient error-resilient codes for sparse image coefficientsabstractIn many source and data compression schemes, information relating to positions of high energy samples or areas of importance often needs to be relayed to the decoder. The error resilient positional code (ERPC) is an efficient fixed rate coding scheme for encoding such positional information, or equivalently, sparse binary data patterns. It has also been designed with good channel error robustness properties, whose performance degrades gracefully with worsening channel conditions, without the possibility of breakdown or loss of sync. In this paper, the coding efficiency of the ERPC is compared to a few other standard schemes, and as well as being efficient, its error extension is shown to be low and non-catastrophic. The ERPC is then applied to an efficient error robust adaptive image coding example based on a SBC/VQ codec capable of operating in harsh channel conditions without the aid of channel coding. Niann T. Cheng, Nick G. Kingsbury |
VCIP | 1 |