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Giaime Ginesu

dblp:29/1790 · DBLP profile ↗
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10ranked-venue papers
5as first author
0since 2021 · last 2014
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 9 · 5 first-authorComputer networks · 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 processing · 67% Image and video coding · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › error resilience
error concealment
0.112005
JPEG2000-coded image error concealment exploiting convex sets projections · IEEE Trans. Image Process. 2005
Image and video processing
image restoration
0.112005
JPEG2000-coded image error concealment exploiting convex sets projections · IEEE Trans. Image Process. 2005
Image and video processing › image reconstruction › iterative reconstruction
projection onto convex sets
0.112005
JPEG2000-coded image error concealment exploiting convex sets projections · IEEE Trans. Image Process. 2005

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

projections onto convex sets · 0.1edge map · 0.1adaptive low-pass filtering · 0.1
YearPublicationVenuePosition
2014 Quality perception when streaming video on tablet devices
Luigi Atzori, Alessandro Floris, Giaime Ginesu, Daniele D. Giusto
J. Vis. Commun. Image Represent.3
2012 Rate control based on reduced-reference image quality estimation for streaming video over wireless channels
abstract
We propose a source-rate control scheme for streaming video over a wireless channel. The scheme is designed to maximize the quality of the decoded video as perceived at the user-side by resorting on a reduced-reference video-quality estimation approach. The advantage is that the measured video quality, which drives the rate-control algorithm, is obtained after channel errors and error concealment. The rate control algorithm works adjusting the rate on a per-window basis to compensate low-throughput periods with high-throughput periods so as to avoid the “saw” effect that is typically observed in frame-based rate control.
Luigi Atzori, Giaime Ginesu, Alessandro Floris, Daniele D. Giusto
ICC2
2012 Streaming video over wireless channels: Exploiting reduced-reference quality estimation at the user-side
Luigi Atzori, Alessandro Floris, Giaime Ginesu, Daniele D. Giusto
Signal Process. Image Commun.3
2012 Objective assessment of the WebP image coding algorithm
Giaime Ginesu, Maurizio Pintus, Daniele D. Giusto
Signal Process. Image Commun.1
2006 Wavelet Domain Scrambling for Image-Based Authentication
abstract
A simple image scrambling method for image-based authentication (IBA) is proposed and evaluated. The devised scheme may be embedded into any wavelet-based IBA framework to provide mutual authentication with challenge-response architecture. The severe constraints on security, data transmission capability and user friendliness are addressed by the complete system, especially in the wireless environment. Data and application scalability is provided through the JPEG2000 standard and JPIP framework
Giaime Ginesu, Daniele D. Giusto, Tatiana Onali
ICASSP (2)1
2006 A multi-factors approach for image quality assessment based on a human visual system model
Giaime Ginesu, Francesco Massidda, Daniele D. Giusto
Signal Process. Image Commun.1
2005 Application-Scalable Image-based Authentication Framework with JPEG2000
abstract
A novel framework for image-based authentication (IBA) is proposed and evaluated. The proposed system relies on data and application scalability in order to optimize its performance in several environments, from wired applications to mobile authentication. Data scalability is exploited through the JPEG2000 standard and JPIP framework. The wireless environment, in particular, imposes severe constraints on data transmission capability and user friendliness, which are satisfied by the devised system
Giaime Ginesu, Daniele D. Giusto, Tatiana Onali
MMSP1
2005 JPEG2000-coded image error concealment exploiting convex sets projections
abstract
Transmission errors in JPEG2000 can be grouped into three main classes, depending on the affected area: LL, high frequencies at the lower decomposition levels, and high frequencies at the higher decomposition levels. The first type of errors are the most annoying but can be concealed exploiting the signal spatial correlation like in a number of techniques proposed in the past; the second are less annoying but more difficult to address; the latter are often imperceptible. In this paper, we address the problem of concealing the second class or errors when high bit-planes are damaged by proposing a new approach based on the theory of projections onto convex sets. Accordingly, the error effects are masked by iteratively applying two procedures: low-pass (LP) filtering in the spatial domain and restoration of the uncorrupted wavelet coefficients in the transform domain. It has been observed that a uniform LP filtering brought to some undesired side effects that negatively compensated the advantages. This problem has been overcome by applying an adaptive solution, which exploits an edge map to choose the optimal filter mask size. Simulation results demonstrated the efficiency of the proposed approach.
Luigi Atzori, Giaime Ginesu, Alessio Raccis
IEEE Trans. Image Process.2
2004 Lossy to lossless SPIHT-based volumetric image compression
abstract
A new coding scheme for lossy to lossless compression of volumetric data using a three-dimensional packet wavelet transform is presented. The need of a unitary transform via the integer lifting scheme and the performance comparison of different integer filter kernels is discussed. A state-of-the-art coder, set partitioning in hierarchical trees (SPIHT), is considered and modified in order to adapt its tree-structure to the 3D packet wavelet structure defined. The algorithm is extensively tested and shows very good performance, both for lossy and lossless coding.
Giaime Ginesu, Daniele D. Giusto, William A. Pearlman
ICASSP (3)1
2004 A novel iterative approach for JPEG2000 error concealment
abstract
In this paper, we address the problem of concealing high-frequencies errors at the lower decomposition levels in JPEG2000, by proposing a new approach based on the theory of projections onto convex sets. The error effects are masked by iteratively applying two important procedures: low-pass (LP) filtering in the spatial domain and restoration of the uncorrupted wavelet coefficients in the transform domain. It has been observed that a uniform LP filtering brought to some undesired side-effects that negatively compensated the advantages. This problem has been overcome by applying an adaptive solution exploiting an edge map to choose the optimal filter mask dimension. Simulation results demonstrated the efficiency of the proposed approach.
Luigi Atzori, Giaime Ginesu, Alessio Raccis, Daniele D. Giusto
MMSP2