Articles de revista
Enviaments recents
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Temporally coherent 3D point cloud video segmentation in generic scenes
(2018-03-02)
Article
Accés obertVideo segmentation is an important building block for high level applications, such as scene understanding and interaction analysis. While outstanding results are achieved in this field by the state-of-the-art learning and ... -
Scanpath and saliency prediction on 360 degree images
(2018-06-23)
Article
Accés restringit per política de l'editorialWe introduce deep neural networks for scanpath and saliency prediction trained on 360-degree images. The scanpath prediction model called SaltiNet is based on a temporal-aware novel representation of saliency information ... -
Introduction to the special issue: egocentric vision and lifelogging
(2018-06-15)
Article
Accés restringit per política de l'editorial -
Magnetic resonance imaging and machine learning make a valuable combined tool for the screening of preclinical AD
(2017-07)
Article
Accés restringit per política de l'editorial -
Hierarchical stack filtering: a bitplane-based algorithm for massively parallel processors
(2017-03-15)
Article
Accés obertWith the development of novel parallel architectures for image processing, the implementation of well-known image operators needs to be reformulated to take advantage of the so-called massive parallelism. In this work, we ... -
3D hierarchical optimization for multi-view depth map coding
(2017-11-28)
Article
Accés restringit per política de l'editorialDepth data has a widespread use since the popularity of high resolution 3D sensors. In multi-view sequences, depth information is used to supplement the color data of each view. This article proposes a joint encoding of ... -
A closed-loop approach for tracking a humanoid robot using particle filtering and depth data
(Springer, 2017-05-24)
Article
Accés obertHumanoid robots introduce instabilities during biped march that complicate the process of estimating their position and orientation along time. Tracking humanoid robots may be useful not only in typical applications such ... -
Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster
(Elsevier, 2017)
Article
Accés obertDeep learning algorithms base their success on building high learning capacity models with millions of parameters that are tuned in a data-driven fashion. These models are trained by processing millions of examples, so ... -
Multiscale combinatorial grouping for image segmentation and object proposal generation
(2017-01-01)
Article
Accés obertWe propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized ... -
From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction
(2017-02-05)
Article
Accés restringit per política de l'editorialVisual multimedia have become an inseparable part of our digital social lives, and they often capture moments tied with deep affections. Automated visual sentiment analysis tools can provide a means of extracting the rich ... -
Optimum graph cuts for pruning binary partition trees of polarimetric SAR images
(Institute of Electrical and Electronics Engineers (IEEE), 2016-09-01)
Article
Accés obertThis paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images. BPTs group ... -
Description schemes for video program, user and devices
(2000-09)
Article
Accés restringit per política de l'editorialThis paper presents a set of description schemes (DS) dealing with video programs, users and devices. Following MPEG-7 terminology, a description of an AV document includes descriptors (termed Ds), which specify the syntax ...
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