1,721,079 research outputs found

    Analyzing, Modelling, and Specifying Visual Interaction

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    This paper discusses the processes underlying human-computer visual interaction, thereby analysing the characteristics of visual interaction; a model and a theory of visual interaction, from which a formal specification of visual interactive systems that are trustable by their users can be derived, are also illustrated. Such a theory is called theory of visual sentences, since each message on the computer screen is described as a visual sentence, i.e., an element of a visual language that specifies the interaction. The concept of relational structure is introduced to take into account different kinds of relations which can exist among the characteristic patterns present in a visual sen- tence. A formal model of the dynamics of visual interac- tion is presented, which is specified as transformations of visual sentences, modelled through visual rewriting systems, and transformations of relational structures. Particular attention is given to usability issues so as to satisfy relevant features needed to allow non-ambiguity of interpretation, adequate communication, determinism and system viability. An example of visual interaction is given where an immunologist interacts with a simulation of the human immune system

    eXEDRA: A complete open source architecture for paper document recognition

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    The Automatic Document recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new architecture for Document recognition that follows the Open Source methodologies for documents segmentation and classification, which turns to be beneficial in terms of computation efficiency, general-purpose availability and cost. ©2003 IEEE

    A system for the automatic layout segmentation and classification of digital documents

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    Paper document recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals and entire books, in order to transform them into digital objects. We present a new system for document recognition that follows the open source methodologies, XML description for document segmentation and classification, which turns out to be beneficial in terms of classification precision, and general-purpose availability. © 2003 IEEE

    Proceedings of the International Working Conference on Advanced Visual Interfaces

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    Gli autori sono Editors del Congresso International Working Conference on Advanced Visual Interfaces - AVI 2002. Trento, Italy 22 - 24 maggio 200

    Visual tagging through social collaboration: A concept paper

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    Collaborative tagging has grown on the Internet as a new paradigm for web information discovering, filtering and retrieval. In the physical world, we use visual tags: labels readable by smartphones with cameras. While visual tags are usually related to a web site address, collaborative tagging, instead, provides updated, recommended information contributed and shared by users. In this paper we investigate the combination of collaborative tagging systems with visual tags. We present a prototype of a semiautomatic system generating visual tags which gather information from collaborative tagging. The user can interact with a list of relevant tags (built by clustering closely related tags) that can be further encoded in a visual tag, according to user's preferences. The user experience is enriched by retrieving multimedia content linked to the selected tags, present on the web. We finally show a case study illustrating our approach. © IFIP International Federation for Information Processing 2007
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