1,721,027 research outputs found

    Sketch Style Recognition in Human Computer Interaction

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    Sketch-based interaction enables users' simple communication and it is used to represent concepts and commands in humancomputer interaction. This communication approach can be used in different contexts with different devices. The ink style through which the user performs a sketch is a critical component in the recognition and interpretation processes. In particular, the different users' styles adopted to perform the sketch can introduce over-tracing and/or cross-hatching phenomena that are respectively represented in the sketch like bold style or dashed style. The paper provides an approach to recognize the different ink styles performed by a user during his/her sketch activity. More specifically an approach to recognize both a single stroke style and the whole sketch style is presented. Copyright © (2007) by Knowledge Systems Institute (KSI)

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Classifying and resolving ambiguities in sketch-based interaction

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    Natural interaction approaches, such as the Sketch-based interaction, frequently imply ambiguities in the interpretation by the computer side. This paper focuses only on micro-level ambiguity analysing the interpretation of the abstract geometrical elements point, polyline and polygon. Considering a dynamic perspective, ambiguities can be caused by: inaccuracy in the user's drawing, approximation of the represented reality and user's deletion or retracing of fragments of the sketch. Moreover, this paper discusses methods to solve ambiguities taking into account the spatial and temporal information that characterise the user's drawing, deleting and over-tracing process according to some experimental observations of users' behaviour

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    Formalizing Recognition of Sketching Styles in Human Centered Systems

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    Sketch-based interaction enables users' simple communication and it is used to represent concepts and commands in human centered systems. This communication approach can be used in different contexts with different devices. The ink style through which the user performs a sketch is a critical component in the recognition and interpretation processes. In particular, the different users' styles adopted to perform the sketch can introduce over-tracing and/or cross-hatching phenomena that are respectively represented in the sketch like bold style or dashed style. The paper provides an approach to formalize the recognition of the different ink styles (bold, solid and dashed) performed by the user during his/her sketch activity. © Springer-Verlag Berlin Heidelberg 2007

    Genetic Algorithms and Other Approaches in Image Feature Extraction and Representation

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    The novel technologies used in different application domains allow obtaining digital images with a high complex informative content, which can be exploited to interpret the semantic meaning of the images themselves. Furthermore, it has to be taken into account that the complex informative content extracted from the images, that is, the features, need of flexible, powerful, and suitable ways to be represented and managed. The metadata through which a set of images can be described are directly tied to the quality and quantity of the extracted features; besides the efficient management of the metadata depend on the practical and capable feature representation. The more used approaches to analyze the image content do not seem able to provide an effective support to obtain a whole image understanding and feature extraction process. For this reason, new classes of methodologies that involve computational intelligent approaches have been developed. In particular, genetic algorithms (GAs) and other artificial intelligent(AI) based approaches seem to provide the best suitable solutions. The artificial intelligent technologies allow for the obtaining of a more semantically complex metadata image representation through which to develop advanced systems to retrieval and to handle the digital images. This new method to conceive a metadata description allows the user to make queries in a more natural, detailed, and semantically complete way. As a result it can overcome the always more sophisticated duties caused by the use of wide local and/or distributed databases with heterogeneous complex images. © 2009, IGI Global
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