• Login
    View Item 
    •   Home
    • IRAC Institute for Research in Applicable Computing - to April 2016
    • Centre for Wireless Research (CWR)
    • View Item
    •   Home
    • IRAC Institute for Research in Applicable Computing - to April 2016
    • Centre for Wireless Research (CWR)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UOBREPCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartmentThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalDepartment

    My Account

    LoginRegister

    About

    AboutLearning ResourcesResearch Graduate SchoolResearch InstitutesUniversity Website

    Statistics

    Display statistics

    Bit allocation and encoded view selection for optimal multiview image representation

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Cheung, Gene
    Velisavljević, Vladan
    Issue Date
    2010
    Subjects
    image reconstruction
    image coding
    bit-mapped graphics
    
    Metadata
    Show full item record
    Abstract
    Novel coding tools have been proposed recently to encode texture and depth maps of multiview images, exploiting inter-view correlations, for depth-image-based rendering (DIBR). However, the important associated bit allocation problem for DIBR remains open: for chosen view coding and synthesis tools, how to allocate bits among texture and depth maps across encoded views, so that the fidelity of a set of V views reconstructed at the decoder is maximized, for a fixed bitrate budget? In this paper, we present an optimization strategy to select subset of texture and depth maps of the original V views for encoding at appropriate quantization levels, so that at the decoder, the combined quality of decoded views (using encoded texture maps) and synthesized views (using encoded texture and depth maps of neighboring views) is maximized. We show that using the monotonicity property, complexity of our strategy can be greatly reduced. Experiments show that using our strategy, one can achieve up to 0.83dB gain in PSNR improvement over a heuristic scheme of encoding only texture maps of all V views at constant quantization levels. Further, computation can be reduced by up to 66% over a full parameter search approach.
    Citation
    Cheung, G. and Velisavljevic, V. (2010) 'Bit allocation and encoded view selection for optimal multiview image representation', International Workshop on Multimedia Signal Processing (MMSP), Saint-Malo, France, 4-6 October. Saint-Malo: IEEE, pp.233-238.
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    URI
    http://hdl.handle.net/10547/292588
    DOI
    10.1109/MMSP.2010.5662025
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5662025
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781424481101
    ae974a485f413a2113503eed53cd6c53
    10.1109/MMSP.2010.5662025
    Scopus Count
    Collections
    Centre for Wireless Research (CWR)

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.