Multilayers fast mode decision algoritham for scalable video coding over IEEE 802.11G wireless LAN /
Scalable Video Coding (SVC) is the extension of H.264/AVC where the features are developed from the H.264/AVC, so that SVC has more complex features for the video coding standard. This provides higher coding complexity in SVC encoder which causes higher encoding time for SVC. SVC is gaining great in...
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Main Author: | |
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Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur:
Kulliyyah of Engineering, International Islamic University Malaysia
2011
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Subjects: | |
Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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Summary: | Scalable Video Coding (SVC) is the extension of H.264/AVC where the features are developed from the H.264/AVC, so that SVC has more complex features for the video coding standard. This provides higher coding complexity in SVC encoder which causes higher encoding time for SVC. SVC is gaining great interest because of its ability and scalability to adapt in various network conditions. SVC allows partial transmission and decoding of a bitstream. This research deals with fast mode decision algorithm for decreasing encoding time or fastening the mode decision process of the SVC encoder. Moreover, the performance of SVC over wireless network has been evaluated. The simulation tools can be of great help for a better understanding of the streaming analysis over the network. Hence, this research utilizes Scalable Video Evaluation Framework (SVEF). The fast mode decision scheme has been implemented and successfully decreased encoding time with negligible loss of quality and bitrate requirement. The streaming simulation has also been performed using the SVEF simulator. The simulation result shows the proposed fast mode decision algorithm provides time saving up to 45 % while maintaining video quality with negligible PSNR loss. For the streaming video, the received packets on the receiver can be reconstructed on maintained video quality with also negligible PSNR loss. |
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Item Description: | Abstract in English and arabic. "A dissertation submitted in fulfilment of the requirement for the degree of Master of Science (Computer and Information Engineering)."--On t.p. |
Physical Description: | xviii, 135 leaves : ill. ; 30cm. |
Bibliography: | Includes bibliographical references (leaves 110-113). |