4 research outputs found
Using punctuation as an iconic system for describing and augmenting video structure
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2001.Includes bibliographical references (leaves 98-101).Affordable digital cameras, high bandwidth connectivity and large-scale video hosting websites are combining to offer an alternative mode of production and channel of distribution for independent filmmakers and home moviemakers. There is a growing need to develop systems that meaningfully support the desires of these filmmakers to communicate and collaborate effectively with others and to propel cinematic storytelling into new and dynamic realms. This document proposes the development of a networked software application, called PlusShorts, that will allow a distributed group of users to contribute to and collaborate upon the creation of shared movie sequences. This system introduces an iconic language, consisting of punctuation symbols, for annotating, sharing and interpreting conceptual ideas about cinematic structure. The PlusShorts application presents individual movie sequences as elements within an evolving cinematic storyspace, where participants can explore, collaborate and share ideas.Aisling Geraldine Mary Kelliher.S.M
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Modeling Narrative Discourse
This thesis describes new approaches to the formal modeling of narrative discourse. Although narratives of all kinds are ubiquitous in daily life, contemporary text processing techniques typically do not leverage the aspects that separate narrative from expository discourse. We describe two approaches to the problem. The first approach considers the conversational networks to be found in literary fiction as a key aspect of discourse coherence; by isolating and analyzing these networks, we are able to comment on longstanding literary theories. The second approach proposes a new set of discourse relations that are specific to narrative. By focusing on certain key aspects, such as agentive characters, goals, plans, beliefs, and time, these relations represent a theory-of-mind interpretation of a text. We show that these discourse relations are expressive, formal, robust, and through the use of a software system, amenable to corpus collection projects through the use of trained annotators. We have procured and released a collection of over 100 encodings, covering a set of fables as well as longer texts including literary fiction and epic poetry. We are able to inferentially find similarities and analogies between encoded stories based on the proposed relations, and an evaluation of this technique shows that human raters prefer such a measure of similarity to a more traditional one based on the semantic distances between story propositions