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Pier Luigi D'Alessandro

dblp:232/6691 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 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%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › transform coding
discrete cosine transform
0.011995
Video coding scheme using DCT-pyramid vector quantization · IEEE Trans. Image Process. 1995
Image and video coding › quantization › vector quantization
pyramid vector quantization
0.011995
Video coding scheme using DCT-pyramid vector quantization · IEEE Trans. Image Process. 1995
Image and video coding
transform coding
0.011995
Video coding scheme using DCT-pyramid vector quantization · IEEE Trans. Image Process. 1995
Image and video coding › quantization
vector quantization
0.011995
Video coding scheme using DCT-pyramid vector quantization · IEEE Trans. Image Process. 1995
Image and video coding
video compression
0.011995
Video coding scheme using DCT-pyramid vector quantization · IEEE Trans. Image Process. 1995

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

scalar quantization · 0.0motion compensation · 0.0
YearPublicationVenuePosition
1995 Video coding scheme using DCT-pyramid vector quantization
abstract
A new and effective video coding scheme for contribution quality is proposed. The CMTT/2, a joint committee of CCIR and CCITT, has proposed a video coding scheme (already approved at European level by ETS) working at 34-45 Mbit/s. Basically this proposal includes a DCT transform for spatial correlation removal and motion compensation for temporal correlation removal. The individual transform coefficients are then scalar quantized with a non uniform bit assignment. Starting from the CMTT/2 proposal, the study presents a new video coding scheme designed using a vector quantizer solution instead of the scalar one. Specifically, the pyramid vector quantization (PVQ) has been chosen as the vector quantization method as it is able to reduce the DCT coefficients Laplacian distribution. Simulation results show that the proposed video coding scheme gives the same contribution quality at 22 Mbit/s as the one obtained with the CMTT/2 proposal at 45 Mbit/s.
Pier Luigi D'Alessandro, Rosa Lancini
IEEE Trans. Image Process.1
1993 Pyramid vector quantization applied to a video coding scheme for contribution quality
Pier Luigi D'Alessandro, P. Formenti, Rosa Lancini
ICASSP (5)1