VIRTUAL TOURS FOR SMART CITIES: A COMPARATIVE PHOTOGRAMMETRIC APPROACH FOR LOCATING HOT-SPOTS IN SPHERICAL PANORAMAS

The paper aims to investigate the possibilities of using the panorama-based VR to survey data related to that set of activities for planning and management of urban areas, belonging to the Smart Cities strategies. The core of our workflow is to facilitate the visualization of the data produced by the infrastructures of the Smart Cities. A graphical interface based on spherical panoramas, instead of complex three-dimensional could help the user/citizen of the city to better know the operation related to control units spread in the urban area. From a methodological point of view three different kind of spherical panorama acquisition has been tested and compared in order to identify a semi-automatic procedure for locating homologous points on two or more spherical images starting from a point cloud obtained from the same images. The points thus identified allow to quickly identify the same hot-spot on multiple images simultaneously. The comparison shows how all three systems have proved to be useful for the purposes of the research but only one has proved to be reliable from a geometric point of view to identify the locators useful for the construction of the virtual tour

Development of ListeriaBase and comparative analysis of Listeria monocytogenes

Background: Listeria consists of both pathogenic and non-pathogenic species. Reports of similarities between the genomic content between some pathogenic and non-pathogenic species necessitates the investigation of these species at the genomic level to understand the evolution of virulence-associated genes. With Listeria genome data growing exponentially, comparative genomic analysis may give better insights into evolution, genetics and phylogeny of Listeria spp., leading to better management of the diseases caused by them. Description: With this motivation, we have developed ListeriaBase, a web Listeria genomic resource and analysis platform to facilitate comparative analysis of Listeria spp. ListeriaBase currently houses 850,402 protein-coding genes, 18,113 RNAs and 15,576 tRNAs from 285 genome sequences of different Listeria strains. An AJAX-based real time search system implemented in ListeriaBase facilitates searching of this huge genomic data. Our in-house designed comparative analysis tools such as Pairwise Genome Comparison (PGC) tool allowing comparison between two genomes, Pathogenomics Profiling Tool (PathoProT) for comparing the virulence genes, and ListeriaTree for phylogenic classification, were customized and incorporated in ListeriaBase facilitating comparative genomic analysis of Listeria spp. Interestingly, we identified a unique genomic feature in the L. monocytogenes genomes in our analysis. The Auto protein sequences of the serotype 4 and the non-serotype 4 strains of L. monocytogenes possessed unique sequence signatures that can differentiate the two groups. We propose that the aut gene may be a potential gene marker for differentiating the serotype 4 strains from other serotypes of L. monocytogenes. Conclusions: ListeriaBase is a useful resource and analysis platform that can facilitate comparative analysis of Listeria for the scientific communities. We have successfully demonstrated some key utilities of ListeriaBase. The knowledge that we obtained in the analyses of L. monocytogenes may be important for functional works of this human pathogen in future. ListeriaBase is currently available at http://listeria.um.edu.my

Steered mixture-of-experts for light field images and video : representation and coding

Research in light field (LF) processing has heavily increased over the last decade. This is largely driven by the desire to achieve the same level of immersion and navigational freedom for camera-captured scenes as it is currently available for CGI content. Standardization organizations such as MPEG and JPEG continue to follow conventional coding paradigms in which viewpoints are discretely represented on 2-D regular grids. These grids are then further decorrelated through hybrid DPCM/transform techniques. However, these 2-D regular grids are less suited for high-dimensional data, such as LFs. We propose a novel coding framework for higher-dimensional image modalities, called Steered Mixture-of-Experts (SMoE). Coherent areas in the higher-dimensional space are represented by single higher-dimensional entities, called kernels. These kernels hold spatially localized information about light rays at any angle arriving at a certain region. The global model consists thus of a set of kernels which define a continuous approximation of the underlying plenoptic function. We introduce the theory of SMoE and illustrate its application for 2-D images, 4-D LF images, and 5-D LF video. We also propose an efficient coding strategy to convert the model parameters into a bitstream. Even without provisions for high-frequency information, the proposed method performs comparable to the state of the art for low-to-mid range bitrates with respect to subjective visual quality of 4-D LF images. In case of 5-D LF video, we observe superior decorrelation and coding performance with coding gains of a factor of 4x in bitrate for the same quality. At least equally important is the fact that our method inherently has desired functionality for LF rendering which is lacking in other state-of-the-art techniques: (1) full zero-delay random access, (2) light-weight pixel-parallel view reconstruction, and (3) intrinsic view interpolation and super-resolution

ICT enabled participatory urban planning and policy development: The UrbanAPI project

Purpose: The aim of this paper is to present the effectiveness of participatory information and communication technology (ICT) tools for urban planning, in particular, supporting bottom-up decision-making in urban management and governance. Design/methodology/approach: This work begins with a presentation on the state of the art literature on the existing participatory approaches and their contribution to urban planning and the policymaking process. Furthermore, a case study, namely, the UrbanAPI project, is selected to identify new visualisation and simulation tools applied at different urban scales. These tools are applied in four different European cities - Vienna, Bologna, Vitoria-Gasteiz and Ruse - with the objective to identify the data needs for application development, commonalities in requirements of such participatory tools and their expected impact in policy and decision-making processes. Findings: The case study presents three planning applications: three-dimensional Virtual Reality at neighbourhood scale, Public Motion Explorer at city-wide scale and Urban Growth Simulation at city-region scale. UrbanAPI applications indicate both active and passive participation secured by applying these tools at different urban scales and hence facilitate evidence-based urban planning decision-making. Structured engagement with the city administrations indicates commonalities in user needs and application requirements creating the potential for the development of generic features in these ICT tools which can be applied to many other cities throughout Europe. Originality/value: This paper presents new ICT-enabled participatory urban planning tools at different urban scales to support collaborative decision-making and urban policy development. Various technologies are used for the development of these IT tools and applied to the real environment of four European cities. © Emerald Group Publishing Limited

Dynamic system simulation on the web

Computer simulation is the discipline of designing a model of an actual or theoretical physical system, executing the model on digital computer, and analysing the execution output. Of late, simulation has been influenced by an increasingly popular phenomenon - the World Wide Web or WWW. Java is a programming language for the WWW that brings a high level of dynamism to Web applications. Java makes it particularly suitable to represent applications on the Web. It has created an illusion of machine independence and interoperability for many applications. Therefore WWW can be considered as an environment for providing modelling and simulation applications. Research in the area of Web-based simulation is developing rapidly as WWW programming tools develop. Bulk of this research is focused only on discrete event simulation. This dissertation introduces dynamic system simulation on the Web. It presents and demonstrates a Web-based simulation software (SimDynamic), entirely developed in Java, for modelling, simulating, and analysing dynamic systems with 3D animated illustration, wherever applicable. SimDynamic can also be used as a non Web-based application on a PC. In both cases, it supports complete model creation and modification capabilities along with graphical and numerical output. Detail design and functional ability of SimDynamic are provided. Some real world systems have been modeled using SimDynamic and results are presented. Characteristic features of the software are discussed from software engineering point of view. Complete source code and installation instructions are included. Current SimDynamic limitations and potential customization and expansion issues are explored

Crossing the Uncanny Valley? Understanding Affinity, Trustworthiness, and Preference for More Realistic Virtual Humans in Immersive Environments

Developers have long strived to create virtual avatars that are more realistic because they are believed to be preferred over less realistic avatars; however, an “Uncanny Valley” exists in which avatars that are almost but not quite realistic trigger aversion. We used a field study to investigate whether users had different affinity, trustworthiness, and preferences for avatars with two levels of realism, one photo-realistic and one a cartoon caricature. We collected survey data and conducted one-on-one interviews with SIGGRAPH conference attendees who watched a live interview carried out utilizing two avatars, either on a large screen 2D video display or via 3D VR headsets. 18 sessions were conducted over four days, with the same person animating the photo realistic avatar but with different individuals animating the caricature avatars. Participants rated the photo-realistic avatar more trustworthy, had more affinity for it, and preferred it as a virtual agent. Participants who observed the interview through VR headsets had even stronger affinity for the photo-realistic avatar and stronger preferences for it as a virtual agent. Interviews further surprisingly suggested that our ability to cross the Uncanny Valley may depend on who controls the avatar, a human or a virtual agent

A document management system for the conservation of cultural heritage buildings

A document management system (DcMS) for the efficient organization and visualization of the data related to conservation projects in cultural heritage buildings applied to a case study is presented. The objective of the system is to allow for the interchange of information between different specialists, to prevent the loss of data through time and to promote technical awareness of general public. For this purpose, a database for the management of the information involved in the works carried out in the Monastery of Santa Maria de Salzedas (Portugal) was created. The newly developed system collects the information about the Monastery produced in a period of five years by different specialists (architects, engineers, geologists, physicists and material scientists). The system is fully web based and includes a Back-End for easy uploading of information and a Front-End for automatic visualization and downloading of the information. Both Back- and Front-End are accessible via an Internet connection.The DcMS presented here is part of the project POCTI-HEC-60431-2004, Integrated approach for conservation and valuation of monuments, funded by FCT (Portuguese Science and Technology Foundation). F. Pena acknowledges funding from the FCT grant contract SFRH/BPD/17449/2004. The system was programmed by Engineers Ana Lima and Daniel Oliveira of the Centre of Computer Graphics (CCG)

Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach

An increasing number of museums and cultural institutions around the world use personalized, mostly mobile, museum guides to enhance visitor experiences. However since a typical museum visit may last a few minutes and visitors might only visit once, the personalization processes need to be quick and efficient, ensuring the engagement of the visitor. In this paper we investigate the use of indirect profiling methods through a visitor quiz, in order to provide the visitor with specific museum content. Building on our experience of a first study aimed at the design, implementation and user testing of a short quiz version at the Acropolis Museum, a second parallel study was devised. This paper introduces this research, which collected and analyzed data from two environments: the Acropolis Museum and social media (i.e. Facebook). Key profiling issues are identified, results are presented, and guidelines towards a generalized approach for the profiling needs of cultural institutions are discussed

Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis

In the past few years, augmented reality (AR) and virtual reality (VR) technologies have experienced terrific improvements in both accessibility and hardware capabilities, encouraging the application of these devices across various domains. While researchers have demonstrated the possible advantages of AR and VR for certain data science tasks, it is still unclear how these technologies would perform in the context of exploratory data analysis (EDA) at large. In particular, we believe it is important to better understand which level of immersion EDA would concretely benefit from, and to quantify the contribution of AR and VR with respect to standard analysis workflows. In this work, we leverage a Dataspace reconfigurable hybrid reality environment to study how data scientists might perform EDA in a co-located, collaborative context. Specifically, we propose the design and implementation of Immersive Insights, a hybrid analytics system combining high-resolution displays, table projections, and augmented reality (AR) visualizations of the data. We conducted a two-part user study with twelve data scientists, in which we evaluated how different levels of data immersion affect the EDA process and compared the performance of Immersive Insights with a state-of-the-art, non-immersive data analysis system.Comment: VRST 201