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Didier Le Gall

dblp:61/3153 · also Didier LeGall · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Computer graphics and multimedia
1 paper
Image and video coding · 75% Audio and music processing · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › video compression
interframe coding
0.011990
Source coding of speech and video signals · Proc. IEEE 1990
Image and video coding
predictive coding
0.011990
Source coding of speech and video signals · Proc. IEEE 1990
Audio and music processing
speech coding
0.011990
Source coding of speech and video signals · Proc. IEEE 1990
Image and video coding
video compression
0.011990
Source coding of speech and video signals · Proc. IEEE 1990

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

frequency-domain coding · 0.0code-excited linear prediction · 0.0
YearPublicationVenuePosition
1990 Source coding of speech and video signals
abstract
Some digital source coding techniques for speech and video are reviewed. Predictive coding of speech, multipulse and code-excited coders and frequency-domain coders are discussed and compared for the coding of speech signals, and intraframe and still image coding and interframe coding are examined for the coding of image and video signals. The emphasis is on those algorithms that offer high compression while maintaining the perceptual quality of the source signals are discussed. Some algorithms that are general waveform coding algorithms and do not strictly depend on the input source are included.>
Sharad Singhal, Didier Le Gall, Cheng-Tie Chen
Proc. IEEE2
1988 Sub-band coding of digital images using symmetric short kernel filters and arithmetic coding techniques
abstract
A simple and efficient method of subband coding of digital images is reported. First, a technique for designing symmetric short tap filters is presented, and it is shown that such filters can be easily implemented by using simple arithmetic operations (e.g. addition and multiplication). By applying the above filters, the input image is decomposed into four bands, which are then coded by using arithmetic coding in combination with discrete PCM coding of the lowest band and PCM coding of higher bands. Simulation results demonstrate that by using the method mentioned above good quality pictures can be obtained in the range of 0.7 to 0.8 bits/pel.>
Didier Le Gall, Ali Tabatabai
ICASSP1