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Designing a communication system for IVAS -Stereo Video Coding Based on H.264
Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

With the rapid development of 3D and communication technology, there are many potential application areas of stereoscopic video such as education, manufacturing, inspection and monitoring, entertainment, medical surgery, videoconferencing, and video telephony etc. In this thesis, we worked on the schemes of stereo video coding designing and comparison to find out the best performance design. Video coding is an essential procedure to reduce the data size and improve transmission efficiency. Stereo video usually needs two and more cameras to capture videos. As we know video files include huge information and massive correlations among frames, furthermore stereo video coding requires considering spatial and temporal redundancies at the meantime. Different video standards developed and applied in different fields, H.264 is a latest standard developed by ITU-T Video Coding Experts Group (VCEG) together with the ISO/IEC Moving Picture Experts Group (MPEG), as we selected compression standard it have many advanced specifics for stereo video coding. For this reason all schemes in this paper we designed are based on H.264 standard. In this thesis, we designed a set of scenarios with four schemes. Each scheme is probably the best one in different test environments. Accordingly we configure the same parameters in software environment both JM (Joint Model) and JMVC (Joint Multi-view Video Coding). The tested sequences are captured from different scene and resolution to make sure that our analysis and conclusions are fair. With all the results we got from all the scenarios, one out of the four schemes turned out to be the best choice in most cases in this thesis.

Place, publisher, year, edition, pages
2010. , 40 p.
Keyword [en]
Stereo video coding, Disparity estimation, Motion estimation, H.264, PSNR
National Category
Signal Processing Telecommunications
URN: urn:nbn:se:bth-2368Local ID: diva2:829640
Available from: 2015-04-22 Created: 2010-04-28 Last updated: 2015-06-30Bibliographically approved

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