Affect-based indexing and retrieval of multimedia data

Digital multimedia systems are creating many new opportunities for rapid access to content archives. In order to explore these collections using search, the content must be annotated with significant features. An important and often overlooked aspect o f human interpretation o f multimedia data is the affective dimension. The hypothesis o f this thesis is that affective labels o f content can be extracted automatically from within multimedia data streams, and that these can then be used for content-based retrieval and browsing. A novel system is presented for extracting affective features from video content and mapping it onto a set o f keywords with predetermined emotional interpretations. These labels are then used to demonstrate affect-based retrieval on a range o f feature films. Because o f the subjective nature o f the words people use to describe emotions, an approach towards an open vocabulary query system utilizing the electronic lexical database WordNet is also presented. This gives flexibility for search queries to be extended to include keywords without predetermined emotional interpretations using a word-similarity measure. The thesis presents the framework and design for the affectbased indexing and retrieval system along with experiments, analysis, and conclusions

Life Expansion: Toward an Artistic, Design-Based Theory of the Transhuman / Posthuman

The thesis’ study of life expansion proposes a framework for artistic, design-based approaches concerned with prolonging human life and sustaining personal identity. To delineate the topic: life expansion means increasing the length of time a person is alive and diversifying the matter in which a person exists. For human life, the length of time is bounded by a single century and its matter is tied to biology. Life expansion is located in the domain of human enhancement, distinctly linked to technological interfaces with biology. The thesis identifies human-computer interaction and the potential of emerging and speculative technologies as seeding the promulgation of human enhancement that approach life expansion. In doing so, the thesis constructs an inquiry into historical and current attempts to append human physiology and intervene with its mortality. By encountering emerging and speculative technologies for prolonging life and sustaining personal identity as possible media for artistic, design-based approaches to human enhancement, a new axis is sought that identifies the transhuman and posthuman as conceptual paradigms for life expansion. The thesis asks: What are the required conditions that enable artistic, design-based approaches to human enhancement that explicitly pursue extending human life? This question centers on the potential of the study’s proposed enhancement technologies in their relationship to life, death, and the human condition. Notably, the thesis investigates artistic approaches, as distinct from those of the natural sciences, and the borders that need to be mediated between them. The study navigates between the domains of life extension, art and design, technology, and philosophy in forming the framework for a theory of life expansion. The critical approach seeks to uncover invisible borders between these interconnecting forces by bringing to light issues of sustaining life and personal identity, ethical concerns, including morphological freedom and extinction risk. Such issues relate to the thesis’ interest in life expansion and the use emerging and speculative technologies. 4 The study takes on a triad approach in its investigation: qualitative interviews with experts of the emerging and speculative technologies; field studies encountering research centers of such technologies; and an artistic, autopoietic process that explores the heuristics of life expansion. This investigation forms an integrative view of the human use of technology and its melioristic aim. The outcome of the research is a theoretical framework for further research in artistic approaches to life expansion

Computational approaches to semantic change (Volume 6)

Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Such computational studies still tended to be small-scale, method-oriented, and qualitative. However, recent years have witnessed a sea-change in this regard. Big-data empirical quantitative investigations are now coming to the forefront, enabled by enormous advances in storage capability and processing power. Diachronic corpora have grown beyond imagination, defying exploration by traditional manual qualitative methods, and language technology has become increasingly data-driven and semantics-oriented. These developments present a golden opportunity for the empirical study of semantic change over both long and short time spans

The pedagogical praxis of creativity: an investigation into the incipience of creative writing in USJP

"A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirements for the degree of Doctor of Philosophy"Creative Writing as a teachable artistic practice, and reinforcing its identity with an appropriate pedagogical approach, has been a vibrant research area for some years now. Yet, despite a strong increase in writing courses all over the globe, there has been little research into how creative practitioners can actually contribute to facilitate the process of skill development in higher education learners, especially in the public sector universities across Sindh, Pakistan. In an effort to introduce Creative Writing as an academic discipline to government universities in Sindh, the present research sought to observe the impact of a training programme on English fiction on a sample of native learners. A total of thirteen students volunteered for this project. The research sample was selected from a population of second year undergraduates, enrolled in literature courses at the Institute of English Language and Literature (IELL) in the University of Sindh, Jamshoro, Pakistan (USJP); wherein Creative Writing had hitherto been a non-existent area of studies. Students were offered a twenty-nine session modular-workshop, aimed at exploring and expediting their artistic abilities in the short time span of a single semester. To ensure the trustworthiness of findings, the entire procedure was documented under the guidance of the researcher’s supervisory team. A post-workshop evaluation survey was also used for attaining student feedback. The setup of assessment items and analysis constructs of students’ narrative portfolios were adapted from validated sources and aligned with the context of this study.However, neither the feedback nor the assessment of students’ work was counted as the findings of this research. Unlike non-artistic inquiries, the post-training creative output gathered from project participants was interpreted as the final research outcome. Methodologically, this process was conducted following a matrix of three practice-oriented research paradigms; whereas “performative research” was selected as the principle data creation and presentation strategy. The resulting research insight has exhibited an in-depth understanding of approaches that could facilitate fiction composition abilities of learners from different language backgrounds, while writing in English. It also allows practitioners to consider non-typical methods of research to contribute holistically to the existing body of knowledge in the field

Data Science and Knowledge Discovery

Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining