Object-Based Coding and Transmission for Plenoptic Videos
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Object-Based Coding and Transmission for Plenoptic Videos

Object-Based Coding and Transmission for Plenoptic Videos


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About the Book

This dissertation, "Object-based Coding and Transmission for Plenoptic Videos" by Qing, Wu, 吳慶, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of the thesis entitled Object-based Coding and Transmission for Plenoptic Videos submitted by WU Qing for the degree of Doctor of Philosophy at the University of Hong Kong in January 2008 Image-based rendering (IBR) techniques have recently emerged as a promising alternative to 3-D computer graphics for photorealistic rendering of scenes and objects from a collection of densely sampled images. This thesis aims at the study of object-based coding and transmission for a class of dynamic image-based representations called plenoptic video (PV). The PV is a simplified dynamic light field, where the videos are taken at regular locations along line segments. An object- based approach to PVs has been proposed in our previous work by segmenting objects at large depth differences into layers. Besides significantly improving the rendering quality, desirable functionalities such as scalability of contents, error resilience, and interactivity with individual IBR objects, can also be achieved. The study objective of this thesis is to further enrich this object-based approach. Firstly, an object-based coding system is proposed for PVs to achieve a considerable coding efficiency and enable desirable object-based functionalities. Besides supporting the coding of the texture and binary shape maps for IBR objects with arbitrary shapes, it also supports the coding of gray-scale alpha maps as well as geometry information in the form of depth maps to respectively facilitate the matting and rendering of the IBR objects. Both the temporal and spatial redundancies among the streams in the PV are exploited to improve the coding performance while avoiding excessive complexity in selective decoding of PVs to support fast rendering speed. Advanced spatial/temporal prediction methods such as global disparity- compensated prediction, direct prediction and its extensions are developed. Secondly, a rate control "hierarchy" for video coding involving rate control algorithms at different levels is studied. It is extended and applied to the rate adaptive encoders inside both the object-based PV coding and transmission systems such that the output source rates can be produced as demanded. It employs a convex optimization-based bit allocation scheme, where the convexity and monotonicity of an improved rate-distortion model was exploited to formulate the bit allocation problem into a convex programming problem. The bit allocation problem can be then readily solved using standard convex programming methods. By cooperating with the region of interest (ROI) functionality and MB classification, the proposed bit allocation scheme is applied to various video sources, and extended to the PVs. Finally, an end-to-end architecture for object-based transmission of PVs is proposed. It is very challenging to transmit PVs over current networks due to their huge data sizes. Using the property of PVs, it is found that a PV can be selectively decoded and transmitted with a pair of adjacent video streams so that the amount of information to be transmitted will be greatly reduced. Techniques for handling view switching are also proposed. To cope with users with different bandwidths, a convex optimization-based rate adaptive encoder with object-based temporal scalability (OTS) is developed. To avoid excessive transcoding, users with similar bandwidths are grouped into classes so that video streams with similar viewpoints and bandwidths can b


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Product Details
  • ISBN-13: 9781361468548
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 166
  • Weight: 680 gr
  • ISBN-10: 1361468548
  • Publisher Date: 27 Jan 2017
  • Binding: Hardback
  • Language: English
  • Spine Width: 11 mm
  • Width: 216 mm


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