Image retrieval by word association
This event took place on Monday 09 May 2005 at 14:00
Dr. Philip Edmonds Sharp Laboratories of Europe
Have you ever wanted to find an image or sound to illustrate an abstract concept? Or an image that is metaphorically associated with some text rather than described by the text? This talk will present research on how one can retrieve (text-annotated) images that are related in various ways to a text query, and organize them in a user interface. The method identifies various possible 'interpretations' of the input query using word sense disambiguation techniques (i.e., clustering), and generates an expanded query for each interpretation. The research is an application of lexical association scores (including co-occurrence and similarity scores). This kind of search could eventually have applications in better image search engines, or in the automatic illustration of news articles.
This event took place on Monday 09 May 2005 at 14:00
Have you ever wanted to find an image or sound to illustrate an abstract concept? Or an image that is metaphorically associated with some text rather than described by the text? This talk will present research on how one can retrieve (text-annotated) images that are related in various ways to a text query, and organize them in a user interface. The method identifies various possible 'interpretations' of the input query using word sense disambiguation techniques (i.e., clustering), and generates an expanded query for each interpretation. The research is an application of lexical association scores (including co-occurrence and similarity scores). This kind of search could eventually have applications in better image search engines, or in the automatic illustration of news articles.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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