| |
Records |
Links |
|
Author |
Fei Yang; Yaxing Wang; Luis Herranz; Yongmei Cheng; Mikhail Mozerov |
|
| |
Title |
A Novel Framework for Image-to-image Translation and Image Compression |
Type |
Journal Article |
| |
Year |
2022 |
Publication  |
Neurocomputing |
Abbreviated Journal |
NEUCOM |
|
| |
Volume |
508 |
Issue |
|
Pages |
58-70 |
|
| |
Keywords |
|
|
| |
Abstract |
Data-driven paradigms using machine learning are becoming ubiquitous in image processing and communications. In particular, image-to-image (I2I) translation is a generic and widely used approach to image processing problems, such as image synthesis, style transfer, and image restoration. At the same time, neural image compression has emerged as a data-driven alternative to traditional coding approaches in visual communications. In this paper, we study the combination of these two paradigms into a joint I2I compression and translation framework, focusing on multi-domain image synthesis. We first propose distributed I2I translation by integrating quantization and entropy coding into an I2I translation framework (i.e. I2Icodec). In practice, the image compression functionality (i.e. autoencoding) is also desirable, requiring to deploy alongside I2Icodec a regular image codec. Thus, we further propose a unified framework that allows both translation and autoencoding capabilities in a single codec. Adaptive residual blocks conditioned on the translation/compression mode provide flexible adaptation to the desired functionality. The experiments show promising results in both I2I translation and image compression using a single model. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
|
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
LAMP;ISE |
Approved |
no |
|
| |
Call Number |
Admin @ si @ YWH2022 |
Serial |
3679 |
|
| Permanent link to this record |
| |
|
| |
|
Author |
Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca |
|
| |
Title |
Quality control of safety belts by machine vision inspection for real-time production |
Type |
Journal Article |
| |
Year |
2003 |
Publication |
Optical Engineering (IF: 0.877) |
Abbreviated Journal |
|
|
| |
Volume |
42 |
Issue |
4 |
Pages |
1114-1120 |
|
| |
Keywords |
|
|
| |
Abstract |
|
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
SPIE |
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
|
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
ADAS;ISE;CIC |
Approved |
no |
|
| |
Call Number |
ADAS @ adas @ PRL2003 |
Serial |
399 |
|
| Permanent link to this record |
| |
|
| |
|
Author |
Mikhail Mozerov; V. Kober |
|
| |
Title |
Impulse Noise Removal with Gradient Adaptive Neighborhoods |
Type |
Journal |
| |
Year |
2006 |
Publication |
Optical Engineering, 45: 67003 |
Abbreviated Journal |
|
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
|
|
| |
Abstract |
|
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
|
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
ISE |
Approved |
no |
|
| |
Call Number |
ISE @ ise @ MoK2006 |
Serial |
676 |
|
| Permanent link to this record |
| |
|
| |
|
Author |
Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez |
|
| |
Title |
Trajectory Occlusion Handling with Multiple View Distance Minimisation Clustering |
Type |
Journal |
| |
Year |
2008 |
Publication |
Optical Engineering, vol. 47(04)04702, DOI:10.11781.2909665 |
Abbreviated Journal |
|
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
|
|
| |
Abstract |
|
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
|
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
ISE |
Approved |
no |
|
| |
Call Number |
ISE @ ise @ MAR2008c |
Serial |
970 |
|
| Permanent link to this record |
| |
|
| |
|
Author |
Ignasi Rius; Jordi Gonzalez; Javier Varona; Xavier Roca |
|
| |
Title |
Action-specific motion prior for efficient bayesian 3D human body tracking |
Type |
Journal Article |
| |
Year |
2009 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
|
| |
Volume |
42 |
Issue |
11 |
Pages |
2907–2921 |
|
| |
Keywords |
|
|
| |
Abstract |
In this paper, we aim to reconstruct the 3D motion parameters of a human body
model from the known 2D positions of a reduced set of joints in the image plane.
Towards this end, an action-specific motion model is trained from a database of real
motion-captured performances. The learnt motion model is used within a particle
filtering framework as a priori knowledge on human motion. First, our dynamic
model guides the particles according to similar situations previously learnt. Then, the solution space is constrained so only feasible human postures are accepted as valid solutions at each time step. As a result, we are able to track the 3D configuration of the full human body from several cycles of walking motion sequences using only the 2D positions of a very reduced set of joints from lateral or frontal viewpoints. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
0031-3203 |
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
ISE |
Approved |
no |
|
| |
Call Number |
ISE @ ise @ RGV2009 |
Serial |
1159 |
|
| Permanent link to this record |
