Комбинированный Подход к Представлению Содержания и Текстового Описания Мультимедиа

В статье рассмотрена проблема семантической разницы между содержимым мультимедиа и его текстовым описанием, определяемым вручную. Предложен комбинированный подход к представлению семантики мультимедиа, основанный на объединении близких по содержанию и текстовому описанию мультимедиа в классы, содержащие обобщённые описания объектов, связей между ними и ключевых слов текстовых метаданных из некоторого тезауруса. Для формирования этих классов используются операции иерархической кластеризации и машинного обучения. Данный подход позволяет расширить область поиска и навигации мультимедиа благодаря привлечению медиа-данных, имеющих схожее содержание и текстовое описание.

An Analysis of Colour Semantics in Art Images

This article presents the principal results of the Ph.D. thesis A Novel Method for Content-Based Image Retrieval in Art Image Collections Utilizing Colour Semantics by Krassimira Ivanova (Institute of Mathematics and Informatics, BAS), successfully defended at Hasselt Uni-versity in Belgium, Faculty of Science, on 15 November 2011.

Establishing Correspondences between Attribute Spaces and Complex Concept Spaces Using Meta-PGN Classifier

In this paper, we present one approach for extending the learning set of a classification algorithm with additional metadata. It is used as a base for giving appropriate names to found regularities. The analysis of correspondence between connections established in the attribute space and existing links between concepts can be used as a test for creation of an adequate model of the observed world. Meta-PGN classifier is suggested as a possible tool for establishing these connections. Applying this approach in the field of content-based image retrieval of art paintings provides a tool for extracting specific feature combinations, which represent different sides of artists' styles, periods and movements.

The Odrysian Kingdom – a Concept of an Interactive Multimedia Application for Educational Purposes

The presentation of cultural heritage is difficult comprehensive and constantly updated topic. Researchers often focus more on the different techniques to digitize artifacts of cultural heritage. This work focuses on the overall shape and structure of future multimedia application whose specificity is determined by the topic - Odrysian kingdom. Below is presented a concept for structure and content-based information available for individual kings from Odryssae dynasty. Special attention is paid to the presentation of preserved artifacts associated with the reign of specific rulers. The main concept of multimedia application dedicated to the Odrysian kingdom, it is to be used in teaching programs related to cultural heritage and history of antiquity in universities. The aim of designers is that it can be modified easy for use in museums also.

Classification of Paintings by Artist, Movement, and Indoor Setting Using MPEG-7 Descriptor Features

ACM Computing Classification System (1998): I.4.9, I.4.10.

Guest editors’ introduction: is the HRM process important? Past, current, and future challenges

Ten years ago, Bowen and Ostroff (2004) criticized the one-sided focus on the content-based approach, where researchers take into account the inherent virtues (or vices) associated with the content of HR practices to explain performance. They explicitly highlight the role of the psychological processes through which employees attach meaning to HRM. In this first article of the special section entitled “Is the HRM Process Important?” we present an overview of past, current, and future challenges. For past challenges, we attempt to categorize the various research streams that originated from the seminal piece. To outline current challenges, we present the results of a content analysis of the original 15 articles put forward for the special section. In addition, we provide the overview of a caucus focused on this theme that was held at the Academy of Management annual meeting in Boston in 2012. In conclusion, we discuss future challenges relating to the HRM process approach and review the contributions that have been selected—against a competitive field—for this special issue

Visualisation and browsing of image databases

In this chapter we provide a comprehensive overview of the emerging field of visualising and browsing image databases. We start with a brief introduction to content-based image retrieval and the traditional query-by-example search paradigm that many retrieval systems employ. We specify the problems associated with this type of interface, such as users not being able to formulate a query due to not having a target image or concept in mind. The idea of browsing systems is then introduced as a means to combat these issues, harnessing the cognitive power of the human mind in order to speed up image retrieval.We detail common methods in which the often high-dimensional feature data extracted from images can be used to visualise image databases in an intuitive way. Systems using dimensionality reduction techniques, such as multi-dimensional scaling, are reviewed along with those that cluster images using either divisive or agglomerative techniques as well as graph-based visualisations. While visualisation of an image collection is useful for providing an overview of the contained images, it forms only part of an image database navigation system. We therefore also present various methods provided by these systems to allow for interactive browsing of these datasets. A further area we explore are user studies of systems and visualisations where we look at the different evaluations undertaken in order to test usability and compare systems, and highlight the key findings from these studies. We conclude the chapter with several recommendations for future work in this area. © 2011 Springer-Verlag Berlin Heidelberg.

Art teachers' attitudes toward the Florida Sunshine State Standards for the Visual Arts

The State of Florida developed the Sunshine State Standards For the Arts Curriculum Framework as part of an initiative to raise student achievement in response to national calls for educational reform. The content-based art education approach used in the Sunshine State Standards reflects a viewpoint advocated by prominent art educators and professional art education organizations for more than two decades. Successful implementation of the Sunshine State Standards curriculum approach requires that art teachers be acquainted with and knowledgeable in the four foundational content areas of the arts: studio art, art history, art criticism, and aesthetics. ^ The purpose of this study was to examine art teachers' viewpoints and attitudes toward the content-based art education approach contained in the Florida Curriculum Framework Sunshine State Standards for the Visual Arts. A survey was conducted in order to obtain these viewpoints. Surveys were sent to 440 Miami-Dade County Public School art teachers. A total of 138 elementary, middle and senior high school level art teachers participated in the study. ^ Factors and variables explored in this study included teachers' level of education, type of community, and grade levels taught. The principal methods of analyses employed in the study were descriptive statistics used to display frequencies and percentages. In addition, cross tabulations with Chi-square tests, and Mann-Whitney U tests were used to examine responses to the survey items. ^ The results of the study revealed that the majority of art teachers supported the content-based art education approach used in the Sunshine State Standards for the Arts. However significant differences appeared in the responses to survey items as a result of art teachers' level of education, type of community, and grade levels. The results of this study indicate a need for further examination of teacher training and professional development programs. ^

A multimedia indexing and retrieval framework for multimedia database systems

The main challenges of multimedia data retrieval lie in the effective mapping between low-level features and high-level concepts, and in the individual users' subjective perceptions of multimedia content. ^ The objectives of this dissertation are to develop an integrated multimedia indexing and retrieval framework with the aim to bridge the gap between semantic concepts and low-level features. To achieve this goal, a set of core techniques have been developed, including image segmentation, content-based image retrieval, object tracking, video indexing, and video event detection. These core techniques are integrated in a systematic way to enable the semantic search for images/videos, and can be tailored to solve the problems in other multimedia related domains. In image retrieval, two new methods of bridging the semantic gap are proposed: (1) for general content-based image retrieval, a stochastic mechanism is utilized to enable the long-term learning of high-level concepts from a set of training data, such as user access frequencies and access patterns of images. (2) In addition to whole-image retrieval, a novel multiple instance learning framework is proposed for object-based image retrieval, by which a user is allowed to more effectively search for images that contain multiple objects of interest. An enhanced image segmentation algorithm is developed to extract the object information from images. This segmentation algorithm is further used in video indexing and retrieval, by which a robust video shot/scene segmentation method is developed based on low-level visual feature comparison, object tracking, and audio analysis. Based on shot boundaries, a novel data mining framework is further proposed to detect events in soccer videos, while fully utilizing the multi-modality features and object information obtained through video shot/scene detection. ^ Another contribution of this dissertation is the potential of the above techniques to be tailored and applied to other multimedia applications. This is demonstrated by their utilization in traffic video surveillance applications. The enhanced image segmentation algorithm, coupled with an adaptive background learning algorithm, improves the performance of vehicle identification. A sophisticated object tracking algorithm is proposed to track individual vehicles, while the spatial and temporal relationships of vehicle objects are modeled by an abstract semantic model. ^

Parameter optimization for noise and vibration reduction associated with position and speed sensorless control of permanent magnet machines at low speed

With the advantages and popularity of Permanent Magnet (PM) motors due to their high power density, there is an increasing incentive to use them in variety of applications including electric actuation. These applications have strict noise emission standards. The generation of audible noise and associated vibration modes are characteristics of all electric motors, it is especially problematic in low speed sensorless control rotary actuation applications using high frequency voltage injection technique. This dissertation is aimed at solving the problem of optimizing the sensorless control algorithm for low noise and vibration while achieving at least 12 bit absolute accuracy for speed and position control. The low speed sensorless algorithm is simulated using an improved Phase Variable Model, developed and implemented in a hardware-in-the-loop prototyping environment. Two experimental testbeds were developed and built to test and verify the algorithm in real time.^ A neural network based modeling approach was used to predict the audible noise due to the high frequency injected carrier signal. This model was created based on noise measurements in an especially built chamber. The developed noise model is then integrated into the high frequency based sensorless control scheme so that appropriate tradeoffs and mitigation techniques can be devised. This will improve the position estimation and control performance while keeping the noise below a certain level. Genetic algorithms were used for including the noise optimization parameters into the developed control algorithm.^ A novel wavelet based filtering approach was proposed in this dissertation for the sensorless control algorithm at low speed. This novel filter was capable of extracting the position information at low values of injection voltage where conventional filters fail. This filtering approach can be used in practice to reduce the injected voltage in sensorless control algorithm resulting in significant reduction of noise and vibration.^ Online optimization of sensorless position estimation algorithm was performed to reduce vibration and to improve the position estimation performance. The results obtained are important and represent original contributions that can be helpful in choosing optimal parameters for sensorless control algorithm in many practical applications.^

Repercussão da integração de conteúdos das disciplinas nos trabalhos finais de graduação de CAU-UFRN (2003 a 2010)

The changes in the teaching of Architecture in Brazilian Universities, from the 1990s onwards, with the upgrading of the Architecture project as an object of research and scientific knowledge and more specifically, the adoption by the Architecture and Urbanism Course (CAU) from the Federal University of Rio Grande do Norte (UFRN) of the principle of content integration of the disciplines, aroused the interest in research on issues related to the Design process and the teaching of design in this context. After 20 years of its implementation and recognized as being a major step forward in teaching the teaching/learning process, the integration is the central focus of this research, which will seek to identify changes in the teaching design and its refutation in projects developed by students at the end of their course. In general, it is understood that the need to integrate knowledge from diverse areas of Architect’s professional activity, who seeks through an exercise of summary, identify solutions to the issues involved in a project. On the assumption that the integration of content of disciplines fosters the teaching/learning of Architecture project, which can be evident in the Final Course Assignment (FCA), it becomes necessary to understand, in the light of theories of education, such as the principles of curriculum organization, such as interdisciplinarity and multidisciplinarity, transdisciplinarity and transversality are related to the term integration, is more understood and disseminated among the professors of the Architecture courses. The object of this study is consequently the relationship between the integration of subject content and Architecture projects developed by students from CAU-UFRN, in the context of Final Graduation projects (FCAs) completed in the period of duration of the Teaching Project A5-from 2003. The study has the main objective of investigating to what extent the integration of disciplinary content affects the development of the Final Assignment of UFRN, from the analysis of drawings and texts of the projects of the learners and the testimonies of teachers and undergraduate students. From a methodological point of view, the research “Architecture, Project and Knowledge Production: Academic Production – FCAs, Thesis and dissertations in PA/Brazil” carried out by the PROJETAR/UFRN team has been adopted as the basis for the construction of the analytical instruments. In order to identify aspects of their experience by various actors which were not recorded in FCA, electronic forms were applied between teachers and students, through the internet. The integration of subject content based Teaching Project of CAU-UFRN institutionalises the interdisciplinarity, organizing the curriculum by thematic semesters, in which the disciplines work the same focus and at the same site. The integrated work which derives from there tries to articulate the content of each discipline of the period and represents a general practice and has been evaluated by teachers and students, and considered as a facilitator of the teaching/learning process. The analysis of the data collected from the textual content and graphic of the sample of FCAs of CAU-UFRN suggests that the content of the various areas of knowledge are assimilated by the student and used as a resource for the design and development of Architecture projects. In other words, there is in the end product of the students record of the integration of content, whether in speech or in drawing, reaffirming the importance of the convergence of various knowledge in the Architectonic project. However, the integration of content from the point of view of their articulation and operationalization, which involves teachers and students in the same period, has as a condition sine qua non for the success of this educational principle, the provision of these to work as part of a team, for the dialogic practice, which creates areas of intersection not only between disciplines, but between the knowledge of each of the participants.

Prevalência e fatores associados à alteração vocal em idosos institucionalizados com capacidade cognitiva preservada

Voice disorders (VD) in the elderly can interfere negatively in communication, emotional well-being and quality of life, conditions that correspond to greater exposure to illness and social isolation bringing consequent economic impact for the health system. It is assumed that institutionalized confinement, weakness and morbidity associated to nursing home (NH) contribute to transform VD an especially prevalent condition in institutionalized elderly, including those without cognitive impairment. Thus, the aim of this study was to determine the prevalence and associated factors of VD in NH elderly residents without cognitive impairment. There is no epidemiological diagnostic instruments of VD for elderly populations, so the first step of this study was dedicated to prepare and analyze the psychometric properties of a short, inexpensive and easy to use questionnaire named Screening for Voice Disorders in Older Adults (Rastreamento de Alterações Vocais em Idosos—RAVI). The methodological procedures of this step followed the guidelines of the Standards for Educational and Psychological Testing and contemplated validity evidence based on test content, based on response processes, based on internal structure and based on relations with other variables, as well as reliability analysis and clinical consistency. The result of the validation process showed that the RAVI final score generate valid and reliable interpretations for the epidemiological diagnosis of VD in the elderly, which endorsed the use of the questionnaire in the second stage of the study, performed in ten NH located in the city of Natal, Rio Grande do Norte. At this stage, data from socioeconomic and demographic variables, lifestyle, general health conditions and characterization of the institution were collected. It was performed a bivariate analysis and it was calculated the prevalence ratio as a magnitude association measure, with a confidence interval of 95%. The variables with p-value less than 0.20 were included in the multiple logistic regression model that followed the Forward selection method. The odds ratio found in the multivariate model was converted into prevalence ratio and the level of significance was 5%. The sample consisted of 117 subjects with predominance of females and average of 79.68 (± 7.92) years old. The prevalence of VD was 39.3% (95% CI: 30.4-48.1%). The multivariate model showed statistically significant association between VD and depressive symptoms, smoking for a year or more and selfreported hearing loss. In conclusion, VD is a prevalent health condition in NH elderly residents without cognitive impairment and is associated with factors involving psychosocial, lifestyle and communicative disability that require attention of managers and professionals involved with NH environment. Strategies to encourage communication and social integration, actions to combat smoking and minimizing the effects of hearing loss could stimulate the physical well-being, emotional and mental health of institutionalized elderly population, contributing to the vocal and communicative maintenance, a more effective social inclusion and better overall health condition.

O uso da Divergência de Kullback-Leibler e da Divergência Generalizada como medida de similaridade em sistemas CBIR

The content-based image retrieval is important for various purposes like disease diagnoses from computerized tomography, for example. The relevance, social and economic of image retrieval systems has created the necessity of its improvement. Within this context, the content-based image retrieval systems are composed of two stages, the feature extraction and similarity measurement. The stage of similarity is still a challenge due to the wide variety of similarity measurement functions, which can be combined with the different techniques present in the recovery process and return results that aren’t always the most satisfactory. The most common functions used to measure the similarity are the Euclidean and Cosine, but some researchers have noted some limitations in these functions conventional proximity, in the step of search by similarity. For that reason, the Bregman divergences (Kullback Leibler and I-Generalized) have attracted the attention of researchers, due to its flexibility in the similarity analysis. Thus, the aim of this research was to conduct a comparative study over the use of Bregman divergences in relation the Euclidean and Cosine functions, in the step similarity of content-based image retrieval, checking the advantages and disadvantages of each function. For this, it was created a content-based image retrieval system in two stages: offline and online, using approaches BSM, FISM, BoVW and BoVW-SPM. With this system was created three groups of experiments using databases: Caltech101, Oxford and UK-bench. The performance of content-based image retrieval system using the different functions of similarity was tested through of evaluation measures: Mean Average Precision, normalized Discounted Cumulative Gain, precision at k, precision x recall. Finally, this study shows that the use of Bregman divergences (Kullback Leibler and Generalized) obtains better results than the Euclidean and Cosine measures with significant gains for content-based image retrieval.

HIPERLOCAL, DADOS E APLICATIVOS: inovações no fazer jornalismo e comunicação

A evolução tecnológica na comunicação contemporânea estrutura sistemas digitais via redes de computadores conectados e exploração maciça de dispositivos tecnológicos. Os dados digitais captados e distribuídos via aplicativos instalados em smartphones criam ambiente dinâmico comunicacional. O Jornalismo e a Comunicação tentam se adaptar ao novo ecossistema informacional impetrado pelas constantes inovações tecnológicas que possibilitam a criação de novos ambientes e sistemas para acesso à informação de relevância social. Surgem novas ferramentas para produção e distribuição de conteúdos jornalísticos, produtos baseados em dados e interações inteligentes, algoritmos usados em diversos processos, plataformas hiperlocais e sistemas de narrativas e produção digitais. Nesse contexto, o objetivo da pesquisa foi elaborar uma análise e comparação entre produtos de mídia e tecnologia específicos. Se as novas tecnologias acrescentam atributos às produções e narrativas jornalísticas, seus impactos na prática da atividade e também se há modificação nos processos de produção de informação de relevância social em relação aos processos jornalísticos tradicionais e consolidados. Investiga se o uso de informações insertadas pelos usuários, em tempo real, melhora a qualidade das narrativas emergentes através de dispositivos móveis e se a gamificação ou ludificação altera a percepção de credibilidade do jornalismo. Para que assim seja repensado a forma de se produzir e gerar informação e conhecimento para os públicos que demandam conteúdo

Image retrieval on the Honeycomb Image Browser

Efficient and effective approaches of dealing with the vast amount of visual information available nowadays are highly sought after. This is particularly the case for image collections, both personal and commercial. Due to the magnitude of these ever expanding image repositories, annotation of all images images is infeasible, and search in such an image collection therefore becomes inherently difficult. Although content-based image retrieval techniques have shown much potential, such approaches also suffer from various problems making it difficult to adopt them in practice. In this paper, we follow a different approach, namely that of browsing image databases for image retrieval. In our Honeycomb Image Browser, large image databases are visualised on a hexagonal lattice with image thumbnails occupying hexagons. Arranged in a space filling manner, visually similar images are located close together enabling large image datasets to be navigated in a hierarchical manner. Various browsing tools are incorporated to allow for interactive exploration of the database. Experimental results confirm that our approach affords efficient image retrieval. © 2010 IEEE.