Federica Battisti

Federica Battisti
University of Padova | UNIPD · Department of Information Engineering

Doctor of Philosophy

About

151
Publications
32,455
Reads
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4,378
Citations
Citations since 2016
88 Research Items
3200 Citations
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Introduction
Federica Battisti currently works at the Department of Information Engineering, University of Padova as associate professor. Federica's research is in multimedia signal processing and quality of experience related topics.

Publications

Publications (151)
Article
Assessing the quality of images is a challenging task. To achieve this goal, images must be evaluated by a pool of subjects following a well-defined protocol or an objective quality metric must be defined. In this work, an objective quality metric based on deep neural network is proposed. The metric takes into account the human vision system by com...
Conference Paper
Recognizing emotions from body movements represents a challenge in affective computing. Most methods in the literature focus on analyzing speech features and facial expressions; yet, even considering body postures and motions can help in identifying emotions. To this end, datasets have been designed to assess upper limb movement and hand gestures....
Conference Paper
Accurate detection and classification of objects in 3D point clouds is a central problem in several applications such as autonomous navigation and augmented/virtual reality scenarios. In this paper we present a deep learning strategy for 3D object detection for railway applications based on the VoxelNet model. Due to the lack of publicly available...
Article
The growing diffusion of immersive and interactive applications is posing new challenges in the multimedia processing chain. When dealing with AR and VR applications, the most relevant aspects to consider are the (1) quality of the visualized 3D objects and (2) the fluidity in the visualization in case the user is moving in the environment. In this...
Conference Paper
Cyber Physical Systems are currently employed in several applications such as healthcare, transport, energy, and industrial systems. However, their communication capability exposes them to several network-level threats. Therefore, ensuring the security of Cyber Physical Systems has become an urgent and vital need. To address this issue, in this wor...
Article
Full-text available
Traditional image and video enhancement techniques do not consider the subjective preferences of the user, who might be interested in modifying or highlighting specific elements of a scene. In fact, most image or video post-processing techniques are applied to the entire image or frame. In this work, a framework for selective video enhancement is p...
Article
Full-text available
The transport sector is experiencing a fast and revolutionary development, moving towards the deployment of autonomous vehicles. Thus, the accuracy of the position information and the integrity of the navigation system have become key factors. In this paper, we address the problem of the enhancement of the integrity of the position provided by a Gl...
Article
Full-text available
Over the last few years applications based on the use of immersive environments, where physical and digital objects coexist and interact, have gained widespread attention. Thanks to the development of new visualization devices, even at low cost, and increasingly effective rendering and processing techniques, these applications are reaching a growin...
Conference Paper
Recently, multi-sensor localization strategies are gaining attention in the railway scenario. In fact, the current trend is to reduce or remove the physical equipment deployed along the track for positioning purposes and to exploit on-board sensors to realize the same functionalities. Although GNSS is one of the major resources to perform this task...
Conference Paper
Satellite-based positioning has been selected as one of the key game changers for the evolution of the European Rail Traffic Management System, introducing strict accuracy, integrity and continuity requirements. However, GNSSs are vulnerable to several degradations that impair the fulfillment of the performance demands. For this reason, we propose...
Article
Full-text available
In this contribution, a flexible context-based security framework is proposed by exploring two types of context: distributed and local. While the former consists in processing information from a set of spatially distributed sources, the second accounts for the local environment surrounding the monitored system. The joint processing of these two typ...
Article
Detecting sound events that convey information relevant for human safety and security in noisy environments is a challenging task. To this aim, deep learning techniques are considered a viable solution. In this contribution, we present a fully convolutional network, called AuSPP, which exploits image spatial filtering and an Atrous Spatial Pyramid...
Conference Paper
One of the major challenges in the design of high accuracy, high integrity localization procedures for rail applications based on Global Navigation Satellite Systems is represented by the local hazards that cannot be mitigated by resorting to augmentation networks. By fact, combining smoothed code pseudoranges with (differential) carrier phase and/...
Article
Full-text available
Recently an impressive development in immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR) and 360 video, has been witnessed. However, methods for quality assessment have not been keeping up. This paper studies quality assessment of 360 video from the cross-lab tests (involving ten laboratories and more than 300 participants...
Article
Full-text available
Organizational and technical approaches have proven successful in increasing the performance and preventing risks at socio-technical systems at all scales. Nevertheless, damaging events are often unavoidable due to a wide and dynamic threat landscape and enabled by the increasing complexity of modern systems. For overall performance and risk contro...
Article
Full-text available
Cyber Physical Systems are characterized by a strong interaction among networking, sensing, and control functionalities. Moreover, the recent advent of Internet of Things extended their information sharing capability. However, the interaction between Internet and Cyber Physical Systems requires increased efforts for guaranteeing the security of con...
Conference Paper
Full-text available
Cyber physical systems are becoming ubiquitous devices in many fields thus creating the need for effective security measures. We propose to exploit their intrinsic dependency on the environment in which they are deployed to detect and mitigate anomalies. To do so, sensor measurements, network metrics, and contextual information are fused in a unifi...
Article
Autism Spectrum Disorder is a developmental disorder characterized by a deficit in social behaviour and specific interactions such as reduced eye contact and body gestures. Recent advancements in software and hardware multimedia technologies provide the tools for early detecting the presence of this disorder. In this paper we present an approach ba...
Article
Assessing the quality of images is a challenging task. To achieve this goal, the images must be evaluated by a pool of subjects following a well-defined assessment protocol or an objective quality metric must be defined. In this contribution, an objective metric based on neural networks is proposed. The model takes into account the human vision sys...
Book
This book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020. The 14 full papers presented in this vo...
Article
Light Field imaging provides a wide range of interactive features, such as view point changing and refocusing, and it has been developing as a solution for six degree of freedom applications. Many ongoing efforts, specifically related to pre/post processing, compression, and rendering, have been devoted to the development of this technology. To ben...
Article
Full-text available
Nowadays, Global Navigation Satellite Systems are the main source for high accuracy positioning and timing. For this reason, they are essential both for everyday activities and services, and for the industrial and critical infrastructure sectors. Moreover, the spread of increasingly autonomous vehicles results in strict accuracy and integrity requi...
Conference Paper
Full-text available
This contribution presents the subjective evaluation of the compressed light field datasets obtained with four state-of-the-art codecs: two from the JPEG Pleno Light Field Verification Model and two recent methods for which codecs are publicly available. To the best of our knowledge, currently no subjective testing has been carried out to compare t...
Conference Paper
The objective of this work is to evaluate the feasibility of the integration of visual sensors in the framework of GNSS-based vehicle localization systems. Undoubtedly GNSS plays a key role in vehicle localization. However, the impact of GNSS faults (e.g. satellite and constellation failure), signal degradation (e.g. ionospheric scintillations, mul...
Conference Paper
The upcoming transport revolution is dramatically increasing the navigation integrity requirements. However, traditional techniques for improving the integrity of the position information are usually based on the use of a high number of satellite signals. We propose to add an external integrity source based on the use of on-board visual sensors. Sh...
Article
Full-text available
In this paper, we introduced and tested a new system based on a sensorized seat, to evaluate the sitting dynamics and sway alterations caused by different cognitive engagement conditions. An office chair was equipped with load cells, and a digital and software interface was developed to extract the Center of Pressure (COP). A population of voluntee...
Conference Paper
Light Field imaging systems allow capturing a larger amount of information of a scene with respect to conventional cameras. In fact, light field cameras record, in a single shot, multiple instances of the same scene taken from slightly different points of view. This enables new applications, like digital refocusing and free-viewpoint content creat...
Data
RM3LFV Light Field Video Dataset - Available at http://www.comlab.uniroma3.it/rm3lfv.html For further information, comments or suggestions, please contact Michele Brizzi at michele.brizzi@uniroma3.it.
Preprint
The Internet of Things paradigm improves the classical information sharing scheme. However, it has increased the need for granting the security of the connected systems. In the industrial field, the problem becomes more complex due to the need of protecting a large attack surface while granting the availability of the system and the real time respo...
Conference Paper
Light field imaging is increasingly spreading and its applications are reaching a larger number of users. The quality of the rendered content as perceived by the viewers is a key factor for the future development of this technology. Many factors can cause a degradation of the Light Field quality, from data acquisition/creation to the final renderin...
Article
Quality of Experience of multimedia content is investigated to understand the overall acceptability of the content as perceived by the end user. Recent perspectives stress the need to focus not only on perceptual aspects of the content but also on the interaction between perception and cognitive–emotional aspects. Our contribution lies on this dire...
Article
In free-viewpoint rendering systems, one of the most challenging goals is the creation of virtual views based on available color texture (RGB) and depth data. Conventional depth-image-based rendering (DIBR) approaches have assumed that the virtual camera can only be displaced horizontally, thus leading to fairly simple disocclusion artifacts. Howev...
Article
Immersive media, such as free view point video and 360° video, are expected to be dominant as broadcasting services. The light field (LF) imaging is being considered as a next generation imaging technology offering the possibility to provide new services, including six degree-of-freedom video. The drawback of this technology is in the size of the g...
Article
Full-text available
An office chair for analyzing the seated posture variation during the performance of a stress-level test is presented in this work. To meet this aim, we placed a set of textile pressure sensors both on the backrest and on the seat of the chair. The position of the sensors was selected for maximizing the detection of variations of user’s posture. Th...
Chapter
Traditionally, the quality of a multimedia system was mainly assessed through the evaluation of its Quality of Service (QoS) that is by evaluating system parameters such as bandwidth, latency, jitter, throughput, transmission delay, availability, etc. However, these metrics often failed to capture the actual end-user perceived quality, which has pr...
Chapter
Development and performance evaluation of efficient methods for coding, transmission, and quality assessment of 3D visual content require rich datasets of a suitable test material. The use of these databases allows a fair comparison of systems under test. Moreover, publicly available and widely used datasets are crucial for experimentation leading...
Conference Paper
Full-text available
The economic and social well-being of citizens depends on the reliable functioning of critical infrastructures, and in particular, the provision of a reliable telecommunication system. Integrated risk and resilience analysis and improvement processes have been proposed and adopted to critical infrastructure systems. However, fast, tabular, and i...
Article
In this work, a multi-resolution method for depth estimation from dense image arrays is presented. Recent progress in consumer electronics has enabled the development of low cost hand-held plenoptic cameras. In these systems, multiple views of a scene are captured in a single shot by means of a micro-lens array placed on the focal point of the firs...
Article
Industrial and Automation Control systems traditionally achieved security thanks to the use of proprietary protocols and isolation from the telecommunication networks. Nowadays, the advent of the Industrial Internet of Things poses new security challenges. In this paper, we first highlight the main security challenges that advocate for new risk ass...
Article
Omni-directional imaging records the visual information from any direction with respect to a given view-point. It is gaining consumers’ popularity due to fast spreading of low-cost devices both for acquisition and rendering. The possibility to render the whole surrounding space represents a further step towards immersivity, thus providing the user...
Conference Paper
Recently, the use of neural networks for image classification has become widely spread. Thanks to the availability of increased computational power, better performing architectures have been designed, such as the Deep Neural networks. In this work, we propose a novel image representation framework exploiting the Deep p- Fibonacci scattering network...