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Semi-Automatic Annotation and Retrieval of Visual Content Using the Topic Map Technology

Paper, was published by Atta Badii, Chattun Lallah, Meng Zhu, Michael Crouch, and Oleksandr Kolomiyets at 2008-11-07

This paper proposes a new framework for semi-automatic annotation and retrieval of multimedia.

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There are still major challenges in the area of automatic indexing and retrieval of multimedia content data for very large multimedia content corpora. Current indexing and retrieval applications still use keywords to index multimedia content and those keywords usually do not provide any knowledge about the semantic content of the data. With the increasing amount of multimedia content, it is inefficient to continue with this approach. In this paper, we describe the project DREAM, which addresses such challenges by proposing a new framework for semi-automatic annotation and retrieval of multimedia based on the semantic content. The framework uses the Topic Map Technology, as a tool to model the knowledge automatically extracted from the multimedia content using an Automatic Labelling Engine. We describe how we acquire knowledge from the content and represent this knowledge using the support of NLP to automatically generate Topic Maps. The framework is described in the context of film post-production.

Authors

Atta Badii

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Atta is author of Semi-automatic knowledge.. , The DREAM Framework: Using a.. , and Semi-Automatic Annotation.. .

Chattun Lallah

No contact information available. 

Signet_person

Chattun is author of Semi-automatic knowledge.. , The DREAM Framework: Using a.. , and Semi-Automatic Annotation.. .

Meng Zhu

No contact information available. 

Signet_person

Meng is author of Semi-automatic knowledge.. , The DREAM Framework: Using a.. , and Semi-Automatic Annotation.. .

Michael Crouch

No contact information available. 

Signet_person

Michael is author of Semi-automatic knowledge.. , The DREAM Framework: Using a.. , and Semi-Automatic Annotation.. .

Oleksandr Kolomiyets

No contact information available. 

Signet_person

Oleksandr is author of Semi-Automatic Annotation.. .

 

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The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.

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