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FOCUS MISMATCH COMPENSATION AND COMPLEXITY REDUCTION
TECHNIQUES FOR MULTIVIEW VIDEO CODING
by
PoLin Lai
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
May 2009
Copyright 2009 PoLin Lai
Object Description
| Title | Focus mismatch compensation and complexity reduction techniques for multiview video coding |
| Author | Lai, PoLin |
| Author email | wormwormlai@gmail.com; po-lin.lai@thomson.net |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-10-07 |
| Date submitted | 2009 |
| Restricted until | Unrestricted |
| Date published | 2009-05-04 |
| Advisor (committee chair) | Ortega, Antonio |
| Advisor (committee member) |
Kuo, C.-C. Jay Neumann, Ulrich |
| Abstract | Multiview video systems utilize multiple cameras to simultaneously capture the scene from different viewpoints. They provide video data for new applications such as 3D television and free-viewpoint video. The amount of data in multiview video is very large as compared to monoscopic video. Multiview video coding (MVC) is an emerging research field that focuses on compression of multiview video data. In this dissertation, by exploiting special characteristics of multiview video, we develop techniques that improve MVC efficiency while also taking complexity into account.; First, we analyze focus mismatch exhibited in video content, which is caused by camera focus setting differences. We use geometrical optics to demonstrate how focus settings will affect the captured images. We show that the focus mismatch can be represented in terms of the focus setting parameters (camera-dependency) and the depths of objects (depth-dependency). For 1D parallel camera arrangements in multiview systems, we relate the focus mismatch to the disparity exhibited in frames from different views. The analytical results provide properties that can be exploited to design focus mismatch compensation techniques.; Based on this analysis, we propose a novel adaptive reference filtering (ARF) approach. For MVC inter-view prediction, we exploit the depth-dependency property by utilizing disparity information to partition frames into depth levels, which are prone to suffer from different types of focus mismatch. For each level, a 2D filter is designed by minimizing the prediction error. Filtered references are then generated for predictive coding. We also extend ARF to monoscopic video where no disparity information is available. Simulation results demonstrate higher coding efficiency as compared to multiple-reference prediction and adaptive interpolation filtering methods.; The third part of this thesis presents complexity reduction techniques for MVC. By analyzing ARF results, we propose i) View-wise ARF adaptation based on RD-cost prediction, and ii) Filter updating based on depth-composition change, to achieve computationally efficient ARF schemes. By exploiting the relationship between motion and disparity, we propose predictive fast search algorithms that can be used when one of the fields is available and we wish to estimate the other field efficiently. Simulation results show that significant complexity reduction can be achieved without significant impact on coding efficiency. |
| Keyword | multiview video coding; H.264; focus mismatch; adaptive filtering; disparity compensation; fast search |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m2171 |
| Rights | Lai, PoLin |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | http://www.usc.edu/isd/libraries/services/ask_a_librarian/email/ |
| Filename | etd-Lai-2485 |
| Archival file | uscthesesreloadpub_Volume44/etd-Lai-2485.pdf |
Description
| Title | Page 1 |
| Full text | FOCUS MISMATCH COMPENSATION AND COMPLEXITY REDUCTION TECHNIQUES FOR MULTIVIEW VIDEO CODING by PoLin Lai A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) May 2009 Copyright 2009 PoLin Lai |
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