Content-based search and browsing in semantic multimedia retrieval (2006)
Abstract / truncated to 115 words
Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searcher's information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research problem of this thesis is: what computational content-based models for retrieval increase the effectiveness of the semantic retrieval of digital video? The hypothesis is that semantic search performance can ...
content-based – interactive browsing – multi-modal search – semantic concept – video retrieval – visual feature
Information
- Author
- Rautiainen, Mika
- Institution
- University of Oulou
- Supervisor
- Publication Year
- 2006
- Upload Date
- March 29, 2011
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