SceneMaker: Automatic Visualisation of Screenplays

Hanser, Eva; Kevitt, Paul Mc; Lunney, Tom; Condell, Joan

doi:10.1007/978-3-642-04617-9_34

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…The early systems provided the users with only one representative picture, as described in [31], whereas later systems have provided users with a set of images based on their relevance and have also provided an appropriate layout. More sophisticated outputs in the form of 3D animations with sound effects and displayed emotions are also available, as described in [22]. 10.…”

Section: Remarks and Findings Obtainedmentioning

confidence: 99%

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Text-to-picture tools, systems, and approaches: a survey

Zakraoui

Saleh

Jaam

2019

Multimed Tools Appl

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Text-to-picture systems attempt to facilitate high-level, user-friendly communication between humans and computers while promoting understanding of natural language. These systems interpret a natural language text and transform it into a visual format as pictures or images that are either static or dynamic. In this paper, we aim to identify current difficulties and the main problems faced by prior systems, and in particular, we seek to investigate the feasibility of automatic visualization of Arabic story text through multimedia. Hence, we analyzed a number of well-known text-to-picture systems, tools, and approaches. We showed their constituent steps, such as knowledge extraction, mapping, and image layout, as well as their performance and limitations. We also compared these systems based on a set of criteria, mainly natural language processing, natural language understanding, and input/output modalities. Our survey showed that currently emerging techniques in natural language processing tools and computer vision have made promising advances in analyzing general text and understanding images and videos. Furthermore, important remarks and findings have been deduced from these prior works, which would help in developing an effective text-to-picture system for learning and educational purposes.

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Section: Remarks and Findings Obtainedmentioning

confidence: 99%

“…The CONFUCIUS system is also capable of converting single sentences into corresponding 3D animations [38]. Its successor, SceneMaker [22], expands CONFUCIUS by adding common-sense knowledge for genre specification, emotional expressions, and capturing emotions from the scripts.…”

Section: Introductionmentioning

confidence: 99%

Text-to-picture tools, systems, and approaches: a survey

Zakraoui

Saleh

Jaam

2019

Multimed Tools Appl

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“…Although a number of papers have dealt with issues involved in story illustration [15,23], most existing techniques rely on text understanding module to interpret the input sentences and construct a set of visual representations based on a user-provided database. For instance, Liu and Leung [23] develop a system called ScriptViz, allowing users to visualize screenplays automatically via realistic, animated 3D graphics.…”

Section: Related Workmentioning

confidence: 99%

StoryWizard: a framework for fast stylized story illustration

Zhang

Hao

et al. 2012

Vis Comput

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A fast stylized framework used for creating illustration of a given story is represented. The framework automatically searches proper online images according to the keywords of story, provides users some tools to make the search result precise, and helps users create a picture in every scene without considering the consistency of each character. With the friendly user interface, it provides user abundant interactions, which helps users express their ideas flexibly. Experimental results indicate that this framework allows users, without any art background, to produce personalized picture series with specified story. The fast process, effective interaction and generated delicate pictures can make a story more impressive.

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“…The AnimNL system [14] was dedicated to the visualization of procedural instructions using a virtual agent with the aim of ultimately using instructions to control the behavior of virtual humans. SceneMaker [6] generated animations from film scripts, including some staging elements; this followed work on virtual agent animation from NL [9].…”

Section: Previous and Related Workmentioning

confidence: 99%

Visualization of Patient Behavior from Natural Language Recommendations

Siddle

Lindsay

Ferreira

et al. 2017

Proceedings of the Knowledge Capture Conference

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The visualization of procedural knowledge from textual documents using 3D animation may be a way to improve understanding. We are interested in applying this approach to documents relating to patient education for bariatric surgery: a domain with challenging textual documents describing behavior recommendations that contain few procedural steps and leave much commonsense knowledge unspecified. In this work we look at how to automatically capture knowledge from a range of differently phrased recommendations and use that with implicit knowledge about compliance and violation, such that the recommendations can be visualized using 3D animations. Our solution is an end-to-end system that automates this process via: analysis of input recommendations to uncover their conditional structure; the use of commonsense knowledge and deontic logic to generate compliance and violation rules; and mapping of this knowledge to update a default knowledge base, which is used to generate appropriate sequences of visualizations. In this paper we overview this approach and demonstrate its potential. CCS CONCEPTS•Computing methodologies →Nonmonotonic, default reasoning and belief revision; Planning and scheduling;

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SceneMaker: Automatic Visualisation of Screenplays

Cited by 11 publications

References 27 publications

Text-to-picture tools, systems, and approaches: a survey

Text-to-picture tools, systems, and approaches: a survey

StoryWizard: a framework for fast stylized story illustration

Visualization of Patient Behavior from Natural Language Recommendations

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