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Record Nr. |
UNINA9910485147103321 |
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Autore |
Dooley Kath |
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Titolo |
Cinematic Virtual Reality : A Critical Study of 21st Century Approaches and Practices / / by Kath Dooley |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (153 pages) |
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Disciplina |
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Soggetti |
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Experimental films |
Technology - Sociological aspects |
Experimental Film |
Science, Technology and Society |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction -- Chapter 2: The 360- degree Spectator- Key Concepts for the Cinematic Virtual Reality Viewing Experience -- Chapter 3: Crafting the CVR Experience so as to Guide the Viewer -- Chapter 4: The CVR Project on the Page or on the Screen: Writing and Conceptualization -- Chapter 5: Script and Project Development Practices -- Chapter 6: Spatial Relationships in 360-degree Space: Proximity, Body Orientation and the Gaze -- Chapter 7: Creating Impact: The Scripting and Development of a CVR Documentary -- Chapter 8: Conclusion. |
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Sommario/riassunto |
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"What happens when viewers become the centre of virtual worlds that they can interact with in real time? Kath Dooley raises essential questions about the uniqueness of virtual reality as a storytelling medium, masterfully exploring the triggers that suspend our disbelief and opening the door to swan dive inside stories." - Fred Volhuer, Co-Founder and CEO, Atlas V, France "Dooley provides a much-needed overview of the growing media form of cinematic virtual reality, rigorously examining its unique narrative experiences and the complex |
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production practices that shape them. This book is essential reading for scholars and practitioners looking to gain valuable insight into this emergent storytelling medium." - Anthony Smith, Lecturer in Television Theory, University of Salford With reference to traditional film theory and frameworks drawn from fields such as screenwriting studies and anthropology, this book explores the challenges and opportunities for both practitioners and viewers offered by the 360-degree storytelling form. It focuses on cinematic virtual reality (CVR), a format that involves immersive, high quality, live action or computer-generated imagery (CGI) that can be viewed through head mounted display (HMD) goggles or via online platforms such as YouTube. This format has surged in popularity in recent years due to the release of affordable high quality omnidirectional (360-degree) cameras and consumer grade HMDs. The book interrogates four key concepts for this emerging medium: immersion, presence, embodiment and proximity through an analysis of innovative case studies and with reference to practitioner interviews. In doing so, it highlights the specificity of the format and provides a critical account of practitioner approaches to the concept development, writing and realisation of short narrative CVR works. The book concludes with an account of the author's practice-led research into the form, providing a valuable example of creative practice in the field of immersive media. Kath Dooley is a filmmaker and academic in the Discipline of Theatre, Screen and Immersive Media at Curtin University, Western Australia. She co-edited The Palgrave Handbook of Screen Production published by Palgrave Macmillan in 2019. |
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2. |
Record Nr. |
UNINA9910299767103321 |
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Titolo |
Innovative Statistical Methods for Public Health Data / / edited by Ding-Geng (Din) Chen, Jeffrey Wilson |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (354 p.) |
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Collana |
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ICSA Book Series in Statistics, , 2199-0999 |
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Disciplina |
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Soggetti |
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Biometry |
Public health |
Medicine - Research |
Biology - Research |
Biostatistics |
Public Health |
Biomedical Research |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Part 1: Modelling Clustered Data -- Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies -- Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems -- On the Inference of Partially Correlated Data with Applications to Public Health Issues -- Modeling Time-Dependent Covariates in Longitudinal Data Analyses -- Solving Probabilistic Discrete Event Systems with Moore-Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data -- Part II: Modelling Incomplete or Missing Data -- On the Effects of Structural Zeros in Regression Models -- Modeling Based on Progressively Type-I Interval Censored Sample -- Techniques for Analyzing Incomplete Data in Public Health Research -- A Continuous Latent Factor Model for Non-ignorable Missing Data -- Part III: Healthcare Research Models -- Health Surveillance -- Standardization and Decomposition Analysis: A |
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UsefulAnalytical Method for Outcome Difference, Inequality and Disparity Studies -- Cusp Catastrophe Modeling in Medical and Health Research -- On Ranked Set Sampling Variation and its Applications to Public Health Research -- Weighted Multiple Testing Correction for Correlated Endpoints in Survival Data -- Meta-analytic Methods for Public Health Research. |
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Sommario/riassunto |
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The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference, and it can be used in graduate level classes. |
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