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Features of Octopus
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  • Multifaceted Knowledge Base. Multifaceted knowledge base is used to models the knowledge on the relevance among media objects of various types (text documents, images, video clips, audio clips). Specifically, the knowledge base is built on top of a Layered Graph Model (LGM) constituted by a set of superimposed layers, with each layer representing the inter-object relevance defined from a certain perspectives, ranging from low-level features, structural relations, to user perception.
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  • Link Analysis based Retrieval Algorithm.  Link analysis technique is developed to analyze the "relevance links" (among multi-modal objects) recorded in the LGM, in order to support various retrieval-related tasks, including search, browsing & navigation, clustering, and classification. Such retrieval algorithms can take advantage of the broad range of knowledge in the LGM, and deal with multiple types of media.
  • Learning-from-interactions Strategy. This strategy encourages user interactions in various forms (e.g., querying, browsing, feedback) and learns user characteristics (e.g., interests, preferences) from user behaviors in the interactions. Such user knowledge is incorporated into the LGM and reused in the subsequent queries to retrieve user-adpated results.

  

 News
Our paper about Octopus has been accepted by IEEE ICIP 2002 recently.
 Links
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This site is updated on Apr.13th, 2002 by Jun Yang.