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KMi Seminars
Inferring the Structure of a Tennis Game Using Multimodal Information
This event took place on Wednesday 13 June 2012 at 11:30

 
Dr. Qiang Huang School of Computing Sciences - University of East Anglia


Our ambitious long-term goal is to understand multimodal interaction between humans and we use a sports game, tennis, as a starting-point. In tennis, the goals of interactions are clearly defined and the interaction is subject to clear rules. As such, the game can be effectively analysed in terms of sequences of “events”. Our work focuses on the retrieval of these sequences from audio and visual information, and moves beyond low-level information classification or clustering of features to inferring the low-level structure of the game, a task which we believe could also be accomplished by an intelligent human who had no previous exposure to the game of tennis. The process of segmenting the stream of events present in the game is somewhat akin to a child learning how to segment a stream of speech into a sequence of words: the child notices that some phonetic sequences tend to re-occur, and that there are patterns of co-occurrence across different sequences. In this spirit, we will use a variable-length multigram model (VLMM) to search for regular occurring patterns of match events that are detected and inferred using multimodal information and constitute the basic “units” in a tennis match.



 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.