History-based visual mining of semi-structured audio and text
Bouamrane, M. – M., Luz, S. & Masoodian, M. (2006) History based visual mining of semi-structured audio and text. In Proceedings of the 12th International Multi-media modelling conference, MMM2006, Beijing, China, Jan, 2006(pp.360-363). Washington, DC, USA: IEEE Computer Society.
Permanent Research Commons link: https://hdl.handle.net/10289/1700
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and time-based media. A number of approaches have been proposed which usually involve translating the continuous component of the multimedia recording into a space-based representation, such as text from audio through automatic speech recognition and images from video (keyframes). In this paper, we present a novel technique which defines retrieval units in terms of a log of actions performed on space-based artefacts, and exploits timing properties and extended concurrency to construct a visual presentation of text and speech data. This technique can be easily adapted to any mix of space-based artefacts and continuous media.
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