A flexible scalable video coding framework with adaptive spatio-temporal decompositions (2006)
Abstract / truncated to 115 words
The work presented in this thesis covers topics that extend the scalability functionalities in video coding and improve the compression performance. Two main novel approaches are presented, each targeting a different part of the scalable video coding (SVC) architecture: motion adaptive wavelet transform based on the wavelet transform in lifting implementation, and a design of a flexible framework for generalised spatio-temporal decomposition. Motion adaptive wavelet transform is based on the newly introduced concept of connectivity-map. The connectivity-map describes the underlying irregular structure of regularly sampled data. To enable a scalable representation of the connectivity-map, the corresponding analysis and synthesis operations have been derived. These are then employed to define a joint wavelet connectivity-map decomposition that ...
video coding – scalable coding
Information
- Author
- Sprljan, Nikola
- Institution
- Queen Mary University of London
- Supervisor
- Publication Year
- 2006
- Upload Date
- April 28, 2010
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