Analyzing and Developing Aspects of the Artist Pipeline for Clemson University Art

Major digital production facilities such as Sony Pictures Imageworks, Pixar Animation studio, Walt Disney Animation Studio, and Epic Games use a production system called a pipeline. The term “pipeline” refers to the structure and process of data flow between the various phases of production from story to final edit. This paper examines current production pipeline practices in the Digital Production Arts program at Clemson University and proposes updates and modifications to the workflow. Additionally, this thesis suggests tools that are intended to improve the pipeline with artist-friendly interfaces and customizable integration between software and remote-production capabilities

Organizational consequences linked to the incorporation of ERP into companies' service-marketing activities

ERPs offer a two-fold answer to the need for integration. The first is technical in nature, since the architecture of these programs is designed to ensure the compatibility of their software components and the transparency of their data. They also offer a dynamic approach, because ERPs are mechanisms for incorporating a company's specific functional elements. However, the ERP solution cannot replace every existing management computing system. Accordingly, applying ERP to existing systems will have a significant cost, whether it occurs in the implementation of ERP itself or in the work of making over the firm's own information system. The field surveys that have been carried out show that good management practices already included in non-ERP computing systems can easily be transposed into ERP systems. Conversely, applications that do not follow a horizontal management structure create incompatibilities if we attempt to transfer them into an ERP. The influence of the firm's structure on the implementation of ERP will depend on how compatible it is with the underlying structure of the ERP (structure must follow strategy: A. Chandler.)ERP, organizational structure, strategy, information system, integration.

CHORUS Deliverable 4.3: Report from CHORUS workshops on national initiatives and metadata

Minutes of the following Workshops: • National Initiatives on Multimedia Content Description and Retrieval, Geneva, October 10th, 2007. • Metadata in Audio-Visual/Multimedia production and archiving, Munich, IRT, 21st – 22nd November 2007 Workshop in Geneva 10/10/2007 This highly successful workshop was organised in cooperation with the European Commission. The event brought together the technical, administrative and financial representatives of the various national initiatives, which have been established recently in some European countries to support research and technical development in the area of audio-visual content processing, indexing and searching for the next generation Internet using semantic technologies, and which may lead to an internet-based knowledge infrastructure. The objective of this workshop was to provide a platform for mutual information and exchange between these initiatives, the European Commission and the participants. Top speakers were present from each of the national initiatives. There was time for discussions with the audience and amongst the European National Initiatives. The challenges, communalities, difficulties, targeted/expected impact, success criteria, etc. were tackled. This workshop addressed how these national initiatives could work together and benefit from each other. Workshop in Munich 11/21-22/2007 Numerous EU and national research projects are working on the automatic or semi-automatic generation of descriptive and functional metadata derived from analysing audio-visual content. The owners of AV archives and production facilities are eagerly awaiting such methods which would help them to better exploit their assets.Hand in hand with the digitization of analogue archives and the archiving of digital AV material, metadatashould be generated on an as high semantic level as possible, preferably fully automatically. All users of metadata rely on a certain metadata model. All AV/multimedia search engines, developed or under current development, would have to respect some compatibility or compliance with the metadata models in use. The purpose of this workshop is to draw attention to the specific problem of metadata models in the context of (semi)-automatic multimedia search

Visual analytics: The role of design and art in the emerging field of big data

Driven by the increasing complexity of data sets the need for sophisticated analytics algorithms coupled with visualization of both data and information is growing exponentially in every discipline and industry. Artists, designers and visual thinkers have an important role to play in the presentation and interpretation of data. The Visual Analytics Lab (VAL) at OCAD University is a preeminent research lab for innovation and training in information and scientific visualization and visual analytics. As well as its perspective on the field, two brief case studies are provided, one for health care and the second for media navigation and analysi

Use of creative tools, technologies, processes and practices in the sectors of Art, Media, and Architecture: State-of the-Art and desired future scenarios

The aim of the paper is to analyse and present the preliminary findings of the EU FP7 funded CRe-AM project for the Art, Media, and Architecture sectors. This project bridges communities of technology providers and innovators with the creative industries, with the aim to build sector-specific dynamic roadmaps for the future of the European creative industries by examining the current state-of-the-art tools, technologies, processes, and practices supporting the creative process against the future scenarios envisioned by stakeholders in these sectors.This work was carried out as part of CRe-AM project, which is supported by European Commission (grant agreement n°612451)

Grid service discovery with rough sets

Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.The computational grid is evolving as a service-oriented computing infrastructure that facilitates resource sharing and large-scale problem solving over the Internet. Service discovery becomes an issue of vital importance in utilising grid facilities. This paper presents ROSSE, a Rough sets based search engine for grid service discovery. Building on Rough sets theory, ROSSE is novel in its capability to deal with uncertainty of properties when matching services. In this way, ROSSE can discover the services that are most relevant to a service query from a functional point of view. Since functionally matched services may have distinct non-functional properties related to Quality of Service (QoS), ROSSE introduces a QoS model to further filter matched services with their QoS values to maximise user satisfaction in service discovery. ROSSE is evaluated in terms of its accuracy and efficiency in discovery of computing services