Automated visual discourse synthesis: coherence, versatility, and interactivity

Michelle X. Zhou
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引用次数: 6

Abstract

In this proposal, we present comprehensive and systematic approaches of building systems that can automatically generate coherent visual discourse for interactive envirornments. A visual discourse refers to a series of connected visual displays. A coherent visual discourse requires smooth transitions between displays, consistent designs within and among displays, and effective integration of various components. Our research focuses in part on establishing a general framework by abstracting various generation systems and providing a reference model in which a specific system is considered an instantiation of the framework. In other words, any automated graphics generation system must contain a knowledge base, an inference engine, a visual realizer and an interaction handler. As a consequence, not only can a general framework serve as a template from which a specific generation system can be instantiated, but the framework also can be used as a base for comparing or evaluating different systems. We concentrate on the basic issues involved in establishing these four core components. In particular, we identify various knowledge sources and determine effective knowledge representation paradigms in constructing the knowledge base. We emphasize the efficiency, usability, and flexibility issues in modeling the inference engine. We are concerned with portability and parallelization issues in building the visual realizer, and we also take into account interaction capabilities for interactive environments. To demonstrate the generality and comprehensiveness of the framework, we address its application to the design of coherent visual discourse for heterogeneous information in interactive environments. Within such discussions, heterogeneous information refers to both quantitative and qualitative, or static and dynamic information. In addition, we assume that the system aims to support a wide variety of visual techniques, ranging from individual 2D displays to interactive 3D animation sequences. We describe a system called IMPROVISE (Illustrative Metaphor Production in Reactive Object-oriented VISual Environments) that serves as a proof-of-concept prototype. IMPROVISE is built based on our framework, aiming to automatically generate coherent visual discourse for various application domains in interactive environments. IMPROVISE has been used in two testbed application domains to demonstrate its generality and flexibility. Examples from both domains will be given to illustrate IMPROVISE’s generation process and to identify the future research areas.
自动视觉话语合成:连贯性、多功能性和交互性
在本提案中,我们提出了全面和系统的方法来构建系统,这些系统可以自动为交互式环境生成连贯的视觉话语。视觉话语是指一系列相互关联的视觉展示。连贯的视觉话语要求显示之间的平滑过渡,显示内部和显示之间的一致设计,以及各种组件的有效整合。我们的研究部分侧重于通过抽象各种生成系统并提供参考模型来建立一个通用框架,其中特定系统被认为是框架的实例。换句话说,任何自动图形生成系统都必须包含一个知识库、一个推理引擎、一个视觉实现器和一个交互处理程序。因此,一般框架不仅可以作为模板,从模板中实例化特定的生成系统,而且框架还可以用作比较或评估不同系统的基础。我们集中讨论建立这四个核心组成部分所涉及的基本问题。特别是在知识库的构建中,我们识别了各种各样的知识来源,并确定了有效的知识表示范式。我们强调推理引擎建模的效率、可用性和灵活性问题。在构建可视化实现器时,我们关注可移植性和并行化问题,我们还考虑了交互式环境的交互能力。为了展示该框架的通用性和全面性,我们将其应用于交互环境中异构信息的连贯视觉话语设计。在这样的讨论中,异构信息既指定量信息,也指定性信息,或者指静态信息和动态信息。此外,我们假设该系统旨在支持各种各样的视觉技术,从单独的2D显示到交互式3D动画序列。我们描述了一个称为IMPROVISE(反应性面向对象视觉环境中的说明性隐喻生产)的系统,它可以作为概念验证原型。IMPROVISE是基于我们的框架构建的,旨在为交互式环境中的各种应用领域自动生成连贯的视觉话语。IMPROVISE已在两个测试平台应用领域中使用,以证明其通用性和灵活性。将给出两个领域的例子来说明IMPROVISE的生成过程,并确定未来的研究领域。
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