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PREDICTIVE CODING TOOLS IN MULTI-VIEW VIDEO
COMPRESSION
by
Jae Hoon Kim
A Dissertation Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Ful¯llment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
December 2008
Copyright 2008 Jae Hoon Kim
Object Description
| Title | Predictive coding tools in multi-view video compression |
| Author | Kim, Jae Hoon |
| Author email | i.jaekim@gmail.com; papihoon@chol.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2008-01-31 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-10 |
| Advisor (committee chair) | Ortega, Antonio |
| Advisor (committee member) |
Kuo, C.-C. Jay Neumann, Ulrich |
| Abstract | Multi-view video sequences consist of a set of monoscopic video sequences captured at the same time by cameras at different locations and angles. These sequences contain 3-D information that can be used to deliver new 3-D multimedia services. Due to the amount of data, it is important to efficiently compress these multi-view sequences to deliver more accurate 3-D information.; Since the captured frames by adjacent cameras have similar contents, cross-view redundancy can be exploited for disparity compensation. Typically both temporal and cross-view correlations are exploited in multi-view video coding (MVC), so that a frame can use as a reference the previous frame in time in the same view and/or a frame at the same time from an adjacent view, thus leading to a 2-D dependency problem. The disparity of an object depends primarily on its depth in the scene, which can lead to lack of smoothness in the disparity field. These complex disparity fields are further corrupted by the brightness variations between views captured by different cameras. We propose several solutions to solve these problems in block based predictive coding in MVC.; Firstly, the 2-D dependency problem is addressed in Chapter 2. We use the monotonicity property and the correlation between anchor and non-anchor quantizers to reduce the complexity in data collection of an optimization based on the Viterbi algorithm. The proposed bit allocation achieves 0.5 dB coding gains as compared to MVC with fixed QP.; In Chapter 3, we propose an illumination compensation (IC) model to compensate local illumination mismatches. With about 64% additional complexity for IC, 0.3-0.8 dB gains are achieved in cross-view prediction. IC techniques are extended to compensate illumination mismatches both in temporal and cross-view prediction.; In Chapter 4, we seek to enable compensation based on arbitrarily-shaped regions, while preserving an essentially block-based compensation architecture. To do so, we propose tools for implicit block-segmentation and predictor selection. Given two candidate block predictors, segmentation is applied to the difference of predictors. Then a weighted sum of predictors in each segment is selected for prediction. Simulation results show 0.1-0.4 dB gains as compared to the standard quad tree approach in H.264/AVC. |
| Keyword | video coding; multi-view video; 3D video; illumination compensation; block segmentation; bit allocation |
| 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-m1651 |
| Rights | Kim, Jae Hoon |
| 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-Kim-2128 |
| Archival file | uscthesesreloadpub_Volume26/etd-Kim-2128.pdf |
Description
| Title | Page 1 |
| Full text | PREDICTIVE CODING TOOLS IN MULTI-VIEW VIDEO COMPRESSION by Jae Hoon Kim A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Ful¯llment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) December 2008 Copyright 2008 Jae Hoon Kim |
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