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Title page for etd-0904113-150758


URN etd-0904113-150758 Statistics This thesis had been viewed 1539 times. Download 437 times.
Author Yun-Ching Chang
Author's Email Address No Public.
Department Communication Engineering
Year 2012 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 48
Title A COARSE-TO-FINE ALGORITHM FOR SYNCHRONIZING STEREO VIDEO SEQUENCES USING MOTION INFORMATION
Keyword
  • stereo video system
  • motion estimation
  • disparity estimation
  • synchronization stereo video
  • synchronization stereo video
  • disparity estimation
  • motion estimation
  • stereo video system
  • Abstract With the fast progress in 3D display technology, stereoscopic contents are also
    growing fast and getting increasingly important. However, some problems may occur during the production of stereoscopic contents, such as the determination of stereo bases for scenes of different depths, false parallax, and the synchronization of two video sequences captured from two independent cameras. This thesis addresses on how to synchronize the left-eye-view and right-eye-view video sequences which are not synchronized for healthy and comfortable viewing of stereoscopic videos. The research involves the development of a coarse-to-fine algorithm that employs the motion field information for finding the trajectory correspondence between two sequences to be synchronized. In the algorithm, motion fields are obtained by means of full-search block matching motion estimation. Through a hierarchical search of similar motion field information, the trajectory correspondence can be found in low computational
    complexity. Simulation results indicate that the proposed algorithm is able to
    synchronize stereo video sequences of various types in a short latency of time.
    Advisor Committee
  • Chun-Hsien Chou - advisor
  • none - co-chair
  • Ray-chin Wu - co-chair
  • Files indicate in-campus access immediately and off-campus access at one year
    Date of Defense 2013-07-18 Date of Submission 2013-09-05


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