Thesis
Improved enhancement layer video coding
Washington State University
Master of Science (MS), Washington State University
2000
Handle:
https://hdl.handle.net/2376/43
Abstract
Scalability techniques are increasingly applied to video coding to alleviate transmission problems such as restricted bandwidth, network congestion and data loss. Being layered, scalable video offers the receiver a choice of bit-streams based on resources and needs. The thesis focuses on SNR scalability. The conventional method for SNR scalability provides a base layer description using coarse quantization, then encodes the refinement information using a smaller step size. For the case of a two-level encoder, the refinement information is simply a difference between the original data and the base layer description. This work illustrates that picture quality can be improved by encoding the enhancement information based on the value returned by the base layer quantizer, rather than as a blind difference. The idea is that for the two cases of the base layer quantizer returning a zero or a nonzero index, the probability density functions (pdfs) of the quantization error are different. Encoding the enhancement information using this method significantly improvesthe enhanced picture SNR, while also reducing the encoder complexity. This technique can also be applied to spatial scalability.
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Details
- Title
- Improved enhancement layer video coding
- Creators
- Rathilall Sewsunker
- Contributors
- Thomas R. Fischer (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525141201842
- Language
- English
- Resource Type
- Thesis