Information-Theoretic Semantic Multimedia Indexing
This event took place on Wednesday 27 June 2007 at 11:30
Joćo Magalhćes Imperial College London, and KMi, The Open University
To solve the problem of indexing collections with diverse text documents, image documents, or documents with both text and images, one needs to develop a model that supports heterogeneous types of documents.
In this paper, we show how information theory supplies us with the tools necessary to develop a unique model for text, image, and text/image retrieval. In our approach, for each possible query keyword we estimate a maximum entropy model based on exclusively continuous features that were pre-processed. The unique continuous feature-space of text and visual data is constructed by using a minimum description length criterion to find the optimal feature-space representation (optimal from an information theory point of view). We evaluate our approach in three
experiments: only text retrieval, only image retrieval, and text combined with image retrieval.
This event took place on Wednesday 27 June 2007 at 11:30
To solve the problem of indexing collections with diverse text documents, image documents, or documents with both text and images, one needs to develop a model that supports heterogeneous types of documents.
In this paper, we show how information theory supplies us with the tools necessary to develop a unique model for text, image, and text/image retrieval. In our approach, for each possible query keyword we estimate a maximum entropy model based on exclusively continuous features that were pre-processed. The unique continuous feature-space of text and visual data is constructed by using a minimum description length criterion to find the optimal feature-space representation (optimal from an information theory point of view). We evaluate our approach in three
experiments: only text retrieval, only image retrieval, and text combined with image retrieval.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Knowledge Management is...

Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.
Check out these Hot Knowledge Management Projects:
List all Knowledge Management Projects
Check out these Hot Knowledge Management Technologies:
List all Knowledge Management Technologies
List all Knowledge Management Projects
Check out these Hot Knowledge Management Technologies:
List all Knowledge Management Technologies

