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Niann T. Cheng

dblp:122/6661 · also Niann Tsyk Cheng · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Image and video coding
image compression
0.011992
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
0.011992
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
0.011992
The ERPC: an efficient error-resilient technique for encoding positional information or sparse data · IEEE Trans. Commun. 1992
Coding theory
source coding
0.011992
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
YearPublicationVenuePosition
1992 The ERPC: an efficient error-resilient technique for encoding positional information or sparse data
abstract
In 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 coefficients
abstract
In 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
VCIP1