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Tech Report kmi-04-31 Abstract


Towards 'Cinematic' Hypertext
Techreport ID: kmi-04-31
Date: 2004
Author(s): Clara Mancini, Simon Buckingham Shum
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This paper proposes the paradigm of 'Cinematic' Hypertext (CH), in which discourse form is represented following principles that underpin the expression of narrative patterns in cinema. Primarily tackling hypertext discourse coherence in the non-linear medium, CH is conceived as a way of thinking the hypertext medium that is consistent with its characteristics. CH envisages the consistent and concurrent use of the medium's formal features, grounded in structuring principles, in order to allow the emergence of a local language. Relational primitives based on Cognitive Coherence Relations are proposed as a structuring principle to define hypertext links, while the use the medium?s graphic features is proposed to render these relational primitives as patterns that will take shape during navigation. Taking scholarly hypertext as a domain, this paper articulates the theoretical basis for cinematic hypertext, presents the elements of a prototype visual language to express a sub-set of CCR, provides experimental evidence of its significance, and finally envisages the realisation of a cinematic hypertext environment.

Publication(s):

Mancini, C. and Buckingham Shum, S. (2004). Towards ?Cinematic? Hypertext. Proceedings of ACM Hypertext '04 , Santa Cruz, CA, USA, Aug 9-13, ACM Press, New York. [PrePrint: http://kmi.open.ac.uk/publications/pdf/kmi-04-31.pdf]
 
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Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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