1,720,970 research outputs found
ANSWER: A Semantic Approach to Film Direction
No full textIn this paper we present ANSWER, an innovative approach to film direction. Here we describe a methodology to semantically model the film domain in a way which is coherent with the director’s intent during film production. To achieve this, we are developing a system architecture which will provide the director with the necessary tools and services to author a scene description through intuitive gesture based graphical user interfaces, which will in turn populate the underlying model with a rich set of semantic descriptions. These semantic descriptions will be used to render the scene graphically through animated previsualizations. A director using the ANSWER methodology will be able to understand and assert certain film making decisions before film production begin
Multi-level data fusion of environmental data in future internet applications
No full textThe rapid increase in environmental observations which are conducted by SMEs, communities and volunteers using affordable in situ sensors at various scales, together with the more established observatories set up by environmental and space agencies using airborne and space-borne sensing technologies is generating serious amounts of BIG data at ever increasing rates. Furthermore, the emergence of Future Internet technologies and the urgent requirements for the deployment of specific enablers for the delivery of processed environmental knowledge in real-time with advanced situation awareness to citizens has reached greater imminence. It is now highly critical to build and provide services which automate the aggregation of data from various sources, while surmounting the semantic gaps, conflicts and heterogeneity in data sources.The early stages of aggregation of data enable the preprocessing of data generated from multiple sources with the reconciliation between temporal gaps in observation time series, and alignment of their respective asynchronicities. As a result, multi-level processes of fusion need to be implemented and made accessible to large communities of users using future internet services.This paper presents the process and the preliminary results using RBF networks methods for the spatial fusion of water quality observations and measurements from asynchronous space-borne, in situ and validated models simulation data sources in the Irish Sea
Trustworthy systems design using semantic risk modelling
No full textIn this paper, we set out to explore some of the many ways in which Social Network Analysis (SNA) can be applied to the field of security. In particular, we investigate what information someone (e.g., an attacker) could infer if they were able to gather data on a person’s friend-groups or device communications (e.g., email interactions) and whether this could be used to predict the “hierarchical importance” of the individual. This research could be applied to various social networks to help with criminal investigations by identifying the users with high influence within the criminal gangs on DarkWeb Forums, in order to help identify the ring-leaders of the gangs. For this study we conducted an initial investigation on the Enron email dataset, and investigated the effectiveness of existing SNA metrics in establishing hierarchy from the social network created from the email communications metadata. We then tested the metrics on a fresh dataset to assess the practicality of our results to a new network
SERSCIS-Ont: A Formal Metrics Model for Adaptive Service Oriented Frameworks
Full text linkIn the Future Internet, programs will run on a dynamically changing collection of services, entailing the consumption of a more complex set of resources including financial resources. The von Neumann model offers no useful abstractions for such resources, even with refinements to address parallel and distributed computing devices. In this paper we detail the specification for a post-von Neumann model of metrics where program performance and resource consumption can be quantified and encoding of the behaviour of processes that use these resources is possible. Our approach takes a balanced view between service provider and service consumer requirements, supporting service management and protection as well as non-functional specifications for service discovery and composition
OntoFilm: A Core Ontology for Film Production
Full text linkIn this paper we present OntoFilm, a core ontology for film production. OntoFilm provides a standardized model which conceptualizes the domain and workflows used at various stages of the film production process starting from pre-production and planning, shooting on set, right through to editing and post-production. The main contributions in this paper are: we discuss how OntoFilm models the semantics necessary to interpret these workflows consistently for all users (Directors, DoP’s, grips, post-production, lighting). We also discuss how our ontology forms a common bridge between the low level descriptive metadata generated for the video footage and the high level semantics used in software tools during the production process
Semantic Modelling of Resource Dependability for SLA-based Service Governance
No full textIn this chapter we present a survey of research work related to the semantic modelling of security, semantic SLA modelling, and the current state of the art in SLA-based system governance. Based on this survey, and after observing the essential aspects needed to semantically model an SLA, we first propose a semantic model of resource dependability. This model can be used to semantically encode in SLA the service commitments (to customers) and resource capacity (from suppliers) in terms of usage, performance, and other QoS characteristics that represent non-functional properties. On the basis of this model, we propose a flexible approach to SLA-based system governance that allows for elastic provisioning of resources (by autonomic processes) that meet NFP requirements. This approach can be used to monitor and manage services such that they meet (and continue to meet) agreed levels of QoS
Run-time risk management in adaptive ICT systems
Full text linkWe will present results of the SERSCIS project related to risk management and mitigation strategies in adaptive multi-stakeholder ICT systems. The SERSCIS approach involves using semantic threat models to support automated design-time threat identification and mitigation analysis. The focus of this paper is the use of these models at run-time for automated threat detection and diagnosis. This is based on a combination of semantic reasoning and Bayesian inference applied to run-time system monitoring data. The resulting dynamic risk management approach is compared to a conventional ISO 27000 type approach, and validation test results presented from an Airport Collaborative Decision Making (A-CDM) scenario involving data exchange between multiple airport service providers
SERSCIS: Semantic Modelling of Dynamic, Multi-Stakeholder Systems
Full text linkThis paper describes a novel approach to semantic system and security modelling developed in the SERSCIS project. The approach is designed to address dynamic multistakeholder systems that are composed from services at run-time. This presents several challenges for security risk modelling and management that are not well addressed by previous work. The biggest challenge is the fact that at design-time one only knows the structure but not the composition of the system, forcing an abstract modelling approach to be used. The SERSCIS approach deals with this by defining a set of OWL classes describing generic system assets, threats and security controls and the relationships between them. This dependability model captures security expertise concerning the types of threats that can arise in general and the controls that can be used to address them. An abstract system model can then be created using OWL subclasses, to capture the types of assets and their relationships in a specific system, but still without specifying how many assets, where they are deployed or what security controls they have. The resulting models can be used as inputs to run-time semantic monitoring tools, where the knowledge encoded in the abstract system model is used to automatically determine system threat activity and system vulnerabilities. The approach was validated in an Airport Collaborative Decision-Making scenario
Automated 3D Pre-Vis for Modern Production
No full textHand-drawn storyboards have served the industry for decades and in recent years artist-created digital pre-vis animations have allowed directors, screenwriters and commissioners to ‘see’ their film long before the first scene is shot. However the nature of programme-making is changing. Digital effects, mixed-reality production and now stereoscopic 3D are becoming mainstream. Blurring the distinction between production and post-production, they bring complex planning issues that leave linear pre-vis approaches wanting. This paper describes ANSWER, a new approach to the creative process of film production based on a symbolic notation system akin to a musical score. The notation populates a machine-processable semantic model, or ontology, of the director’s creative intent, which in turn is used to automatically create lightweight 3D pre-vis animations. ANSWER is also integrated with DFT Bones Dailies, so that in post-production editors can quickly synchronise and compare pre-vised and actual footage
ICON: Authentic 3D Cultural Heritage Models for the Creative Industries
No full textMany UK museums are developing their expertise in the creation of 3D models of objects in their collection. Traditionally museums, galleries and libraries have used 2D images to aid them in their collections management, conservation and research and public access to their collections. The opportunity of 3D imaging can make all of these areas of museum activity a much richer experience. UK museums have always been active in their support for the UK creative industries, notably through their picture libraries. Images from UK collections can be seen on a daily basis in fine art publications, general media as well as on film and television. With the development of computer graphics in film and TV, computer games, and ubiquitous multimedia on the web, there is now an opportunity to market 3D models of cultural objects. High-quality digitised 3D models and textures are required for use in film and television post production, games development, architectural visualisation and, most recently, furnishing virtual business premises within VR worlds like Second Life. These models and textures are usually created from scratch by digital artists as required, but this is a costly and time-consuming process. The task of just researching the source designs takes a significant amount of effort before modelling can even begin. In the ICON project, Evolutions Television, Smoke & Mirrors, System Simulation, the V&A and the University of Southampton’s IT Innovation Centre are collaborating to develop a content exchange mechanism, through which 3D digitised design artefacts from museums will be made available for reuse by the digital media industries. ICON will allow for pre-digitised furniture, decorative objects, fashion, fabric designs and wallpaper patterns to be made available for the dressing of virtual sets and clothing avatars. Users of ICON content will benefit from easy access to pre-built high-quality authentic period and contemporary digital models. In return, we will enable a new revenue stream for museums that will allow them to resource further 3D digitisation work. In this paper we will present the tools and techniques developed to achieve the vision of ICON. We begin with an overview of the ICON project and the overall system architecture, before describing in more detail some of the steps necessary to take 3D models originated for museum curatorial purposes and make them suitable for reuse by the digital creative industries
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