210,756 research outputs found
Emotion resonance and divergence: a semiotic analysis of music and sound in 'The Lost Thing', an animated short film and 'Elizabeth' a film trailer
Music and sound contributions of interpersonal meaning to film narratives may be different from or similar to meanings made by language and image, and dynamic interactions between several modalities may generate new story messages. Such interpretive potentials of music and voice sound in motion pictures are rarely considered in social semiotic investigations of intermodality. This paper therefore shares two semiotic studies of distinct and combined music, English speech and image systems in an animated short film and a promotional filmtrailer. The paper considers the impact of music and voice sound on interpretations of film narrative meanings. A music system relevant to the analysis of filmic emotion is proposed. Examples show how music and intonation contribute meaning to lexical, visual and gestural elements of the cinematic spaces. Also described are relations of divergence and resonance between emotion types in various couplings of music, intonation, words and images across story phases. The research is relevant to educational knowledge about sound, and semiotic studies of multimodality
A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset
This paper aims to determine which is the best human action recognition
method based on features extracted from RGB-D devices, such as the Microsoft
Kinect. A review of all the papers that make reference to MSR Action3D, the
most used dataset that includes depth information acquired from a RGB-D device,
has been performed. We found that the validation method used by each work
differs from the others. So, a direct comparison among works cannot be made.
However, almost all the works present their results comparing them without
taking into account this issue. Therefore, we present different rankings
according to the methodology used for the validation in orden to clarify the
existing confusion.Comment: 16 pages and 7 table
The Impact on Public Trust of Image Manipulation in Science
Aim/PurposeIn this paper, we address the theoretical challenges today’s scientific community faces to precisely draw linesbetween true and false pictures. In particular, we focus onproblems related to the hiddenwonders ofscience and the shiny im-ages produced for scientific papers or to appeal towider audiences. BackgroundAs rumors (hoaxes) and false news (fake news)explode acrosssociety and the current network, severalinitiatives using current technologyhave been launched to study this phenomena and limit the social impact. Over the last two decades, inappropriate scientific behavior has raisedmore questions about whether some scientific images are valid.MethodologyThis work is not about analyzing whethertoday’s imagesare objective.Instead,weadvocate for a general approach thatmakes it easier to truly believe in all kinds of knowledge, scientific or otherwise (Goldman, 1967; Goldman, & Ol-son, 2009). This need to believe is closely related to social order (Shapin, 1994). ContributionWe conclude that we must ultimately move away from older ideas about truth and objectivity in research to broadly approach howscience and knowledge are represented and move forward with this theoretical approach when communi-catingscience tothe public.FindingsContemporary visual culture suggests that our world is expressed through im-ages, which areall around us. Therefore,we need to promote thereliability of scientific pictures, which visually represent knowledge, to add meaning in a world of complex high-tech science (Allamel-Raffin, 2011; Greenberg, 2004; Rosenberger, 2009). Since the time of Galileo, and today more than ever, scien-tific activity should be understood as knowledgeproduced toreveal, and there-fore inform us of, (Wise, 2006) all that remains unexplained in our world , as well as everything beyond our senses
Laminar fMRI: applications for cognitive neuroscience
The cortex is a massively recurrent network, characterized by feedforward and feedback connections between brain areas as well as lateral connections within an area. Feedforward, horizontal and feedback responses largely activate separate layers of a cortical unit, meaning they can be dissociated by lamina-resolved neurophysiological techniques. Such techniques are invasive and are therefore rarely used in humans. However, recent developments in high spatial resolution fMRI allow for non-invasive, in vivo measurements of brain responses specific to separate cortical layers. This provides an important opportunity to dissociate between feedforward and feedback brain responses, and investigate communication between brain areas at a more fine- grained level than previously possible in the human species. In this review, we highlight recent studies that successfully used laminar fMRI to isolate layer-specific feedback responses in human sensory cortex. In addition, we review several areas of cognitive neuroscience that stand to benefit from this new technological development, highlighting contemporary hypotheses that yield testable predictions for laminar fMRI. We hope to encourage researchers with the opportunity to embrace this development in fMRI research, as we expect that many future advancements in our current understanding of human brain function will be gained from measuring lamina-specific brain responses
Inviwo -- A Visualization System with Usage Abstraction Levels
The complexity of today's visualization applications demands specific
visualization systems tailored for the development of these applications.
Frequently, such systems utilize levels of abstraction to improve the
application development process, for instance by providing a data flow network
editor. Unfortunately, these abstractions result in several issues, which need
to be circumvented through an abstraction-centered system design. Often, a high
level of abstraction hides low level details, which makes it difficult to
directly access the underlying computing platform, which would be important to
achieve an optimal performance. Therefore, we propose a layer structure
developed for modern and sustainable visualization systems allowing developers
to interact with all contained abstraction levels. We refer to this interaction
capabilities as usage abstraction levels, since we target application
developers with various levels of experience. We formulate the requirements for
such a system, derive the desired architecture, and present how the concepts
have been exemplary realized within the Inviwo visualization system.
Furthermore, we address several specific challenges that arise during the
realization of such a layered architecture, such as communication between
different computing platforms, performance centered encapsulation, as well as
layer-independent development by supporting cross layer documentation and
debugging capabilities
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