1,408 research outputs found
Content vs. context for multimedia semantics: the case of SenseCam image structuring
Much of the current work on determining multimedia semantics from multimedia artifacts is based around using either context, or using content. When leveraged thoroughly these can independently provide content description which is used in building content-based applications. However, there are few cases where multimedia semantics are determined based on an integrated analysis of content and context. In this keynote talk we present one such example system in which we use an integrated combination of the two to automatically structure large collections of images taken by a SenseCam, a device from Microsoft Research which passively records a personâs daily activities. This paper describes the post-processing we perform on SenseCam images in order to present a structured, organised visualisation of the highlights of each of the wearerâs days
Integration of Exploration and Search: A Case Study of the M3 Model
International audienceEffective support for multimedia analytics applications requires exploration and search to be integrated seamlessly into a single interaction model. Media metadata can be seen as defining a multidimensional media space, casting multimedia analytics tasks as exploration, manipulation and augmentation of that space. We present an initial case study of integrating exploration and search within this multidimensional media space. We extend the M3 model, initially proposed as a pure exploration tool, and show that it can be elegantly extended to allow searching within an exploration context and exploring within a search context. We then evaluate the suitability of relational database management systems, as representatives of todayâs data management technologies, for implementing the extended M3 model. Based on our results, we finally propose some research directions for scalability of multimedia analytics
Himalayan Connections: Disciplines, Geographies, Trajectories - A workshop report
âHimalayan Connections: Disciplines, Geographies, Trajectoriesâ was held from March 9-10, 2013 at Yale University in New Haven, Connecticut. The workshop was convened by Andrew Quintman (Religious Studies) and Sara Shneiderman (Anthropology), both Yale faculty members. It brought together a diverse group of researchers and practitioners to consider the interdisciplinary connections that might shape new approaches to Himalayan Studies; to recognize the diversity of perspectives that characterizes Himalayan scholarship; to consider the processes of change that affect ideas about the Himalaya; and to initiate dialogue towards future collaboration
Knowledge-based Expressive Technologies within Cloud Computing Environments
Presented paper describes the development of comprehensive approach for
knowledge processing within e-Sceince tasks. Considering the task solving
within a simulation-driven approach a set of knowledge-based procedures for
task definition and composite application processing can be identified. This
procedures could be supported by the use of domain-specific knowledge being
formalized and used for automation purpose. Within this work the developed
conceptual and technological knowledge-based toolbox for complex
multidisciplinary task solv-ing support is proposed. Using CLAVIRE cloud
computing environment as a core platform a set of interconnected expressive
technologies were developed.Comment: Proceedings of the 8th International Conference on Intelligent
Systems and Knowledge Engineering (ISKE2013). 201
The spreadsheet paradigm: a basis for powerful and accessible programming
This paper takes a cognition-centric approach for programming languages. It promotes the spreadsheet paradigm, with two concrete goals. First, it calls for the design and implementation of several language features to enhance the expressiveness of spreadsheet programming. Second, it describes a plan for rigorous empirical studies to retain the learnability of spreadsheet programming
Hawkeye: An interactive visual analytics tool for genome assemblies
Genome sequencing remains an inexact science, and genome sequences can contain significant errors if they are not carefully examined. Hawkeye is our new visual analytics tool for genome assemblies, designed to aid in identifying and correcting assembly errors. Users can analyze all levels of an assembly along with summary statistics and assembly metrics, and are guided by a ranking component towards likely mis-assemblies. Hawkeye is freely available and released as part of the open source AMOS project http://amos.sourceforge.net/hawkeye. © 2007 Schatz et al.; licensee BioMed Central Ltd
Tasks for multivariate network analysis
In Chap. 1, a multivariate network was defined as having two important characteristics. First, nodes are connected to each other via links; there is topological structure. Second, being multivariate, nodes and links have attributes associated with them, with these attributes having a value. In this chapter, we describe tasks associated with multivariate networks. We consider a task to be an activity that a user wishes to accomplish by interacting with a visual representation of a multivariate network. This implies that there is user intent [13], and that the network has been presented visually. At the highest level, this intent is usually described as the goal of obtaining insight about the data being studied [6]
Making Computer and Internet Usability a Priority
A management oriented essay on how to promote usability in
organizations. It begins with crafting the message (Good usability is
good
business). Then it deals with creating a cultural shift in information
technology and software engineering departments, so that the impact of
poor
design and the benefits of improvements are widely understood. It closes
with an eight-step call to action.
Keywords: usability, technology fluency, user-centered design, software
engineering
(Also cross-referenced as UMIACS-TR-2000-70
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