Accessing movies based on emotional impact

Emotions play a central role in our daily lives, influencing the way we think and act, our health and sense of well-being, and films are by excellence the form of art that exploits our affective, perceptual and intellectual activity, holding the potential for a significant impact. Video is becoming a dominant and pervasive medium, and online video a growing entertainment activity on the web and iTV, mainly due to technological developments and the trends for media convergence. In addition, the improvement of new techniques for gathering emotional information about videos, both through content analysis or user implicit feedback through user physiological signals complemented in manual labeling from users, is revealing new ways for exploring emotional information in videos, films or TV series, and brings out new perspectives to enrich and personalize video access. In this work, we reflect on the power that emotions have in our lives, on the emotional impact of movies, and on how to address this emotional dimension in the way we classify and access movies, by exploring and evaluating the design of iFelt in its different ways to classify, access, browse and visualize movies based on their emotional impac

Contrasts in the basins of attraction of structurally identical iterative root finding methods

A numerical comparison is performed between three methods of third order with the same structure, namely BSC, Halley’s and Euler–Chebyshev’s methods. As the behavior of an iterative method applied to a nonlinear equation can be highly sensitive to the starting points, the numerical comparison is carried out, allowing for complex starting points and for complex roots, on the basins of attraction in the complex plane. Several examples of algebraic and transcendental equations are presented.

Espectador Activo: Comunicação audiovisual institucional num mundo de redes participativas

Once delighted by the moving image advent as a new method of realistically presenting reality, the viewer has been reposition himself towards the audiovisual contents he consumes, as he is given the opportunity to create and share his own perspective of that reality. We are living in a new technological setting, governed mainly by factors of interactivity, digital systems and technological convergence. The research project that we will present in this paper focuses on the subject of participatory media and the way cultural institutions are increasingly facing the inevitability of a profound revision of their traditional parameters of unidirectional communication, given the increasing availability of tools for audiovisual production as well as the diversity of networked communication contexts. The Serralves Foundation with its Museum of Contemporary Art, in Porto, Portugal, was the subject of a fi rst study of an empirical nature: a series of audiovisual objects were developed, in order to generate material for analysis and proposition. In this new stage of the project, our aim is to identify new procedures and practices that may be effectively implemented within the institutional universe. We intend to propose effi cient audiovisual communication contexts, including the maximizing of the relationship between institutions and audiences regarding dimensions that are traditionally outside the institutional radar: identity, narrative and affection. The project is currently in the process of surveying and categorization, with the aim of producing a map of different vocations and positions of the various institutions in regards to the aforementioned issues, which require participatory communication.

Virtual simulation of the postsurgical cosmetic outcome in patientswith pectus excavatum

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which several ribs and the sternum grow abnormally. Nowadays, the surgical correction is carried out in children and adults through Nuss technic. This technic has been shown to be safe with major drivers as cosmesis and the prevention of psychological problems and social stress. Nowadays, no application is known to predict the cosmetic outcome of the pectus excavatum surgical correction. Such tool could be used to help the surgeon and the patient in the moment of deciding the need for surgery correction. This work is a first step to predict postsurgical outcome in pectus excavatum surgery correction. Facing this goal, it was firstly determined a point cloud of the skin surface along the thoracic wall using Computed Tomography (before surgical correction) and the Polhemus FastSCAN (after the surgical correction). Then, a surface mesh was reconstructed from the two point clouds using a Radial Basis Function algorithm for further affine registration between the meshes. After registration, one studied the surgical correction influence area (SCIA) of the thoracic wall. This SCIA was used to train, test and validate artificial neural networks in order to predict the surgical outcome of pectus excavatum correction and to determine the degree of convergence of SCIA in different patients. Often, ANN did not converge to a satisfactory solution (each patient had its own deformity characteristics), thus invalidating the creation of a mathematical model capable of estimating, with satisfactory results, the postsurgical outcome