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SampLe: towards a framework for system-supported multimedia authoring

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TLDR
In this article, the authors present a hypermedia generation model that lets the user influence all phases of this computer-assisted human-guided process by providing extra support for helping the user find relevant media items and combine them meaningfully into a rich and coherent multimedia presentation.
Abstract
Much current research on hypermedia generation accepts user input only at the start of an otherwise fully-automated process. However, since multimedia presentation creation is often a complex and creative process, it has multiple phases which would each benefit from human intervention. This paper presents a hypermedia generation model that lets the user influence all phases of this computer-assisted human-guided process. The main focus is on providing extra support for helping the user find relevant media items and combine them meaningfully into a rich and coherent multimedia presentation. Like fully-automated systems, our approach uses explicit knowledge about the presentation's topic domain, narrative structures, hypermedia presentation and distinctions between media modalities. This paper presents a motivating scenario that is used to derive a number of system requirements and to discuss the pros and cons of the presented approach.

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Semantic-based support for the semi-automatic construction of multimedia presentations

TL;DR: The design of an experimental framework for semi-automatic authoring, SampLe, is introduced that exploits large mediaaware semantic spaces through semantic-sensitive authoring methods to support users mainly during the early stages of presentation design.
DissertationDOI

Multimedia web information fusion and analysis

Jiang. Tao
TL;DR: A semantic representation schema, that combines MPEG-7 multimedia description, RDF language specification, and conceptual graph based knowledge representation techniques for modelling multimedia information, is developed and a semantic metadata extraction algorithm utilizing a myriad of natural language processing (NLP) techniques to automatically extract concepts and relations from text contents is developed.

Semantics in multi-facet hypermedia authoring

TL;DR: A data processor according to the present invention executes instructions described in first and second instruction formats by identifying the received instruction as being described in the first or second instruction format by the instruction itself
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