Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0904113-150758 Statistics This thesis had been viewed 1597 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 Date of Defense 2013-07-18 Date of Submission 2013-09-05