Adaptive mode decision algorithm for inter layer coding in scalable video coding

Seon Tae Kim, Krishna Reddy Konda, Pyeong Soo Mah, Sung Jea Ko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    More and more applications are being discovered for scalable video coding (SVC) in network-adaptive video streaming and storage systems. In the SVC encoder, an exhaustive search technique is employed to select the best coding mode for each macro block. This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time. In this paper, we propose an adaptive fast mode decision algorithm for inter layer coding for spatial scalability and coarse grain quality scalability (CGS). In the proposed method, we select candidate modes adaptively for estimation in enhancement layer using the information of base layer and rate distortion (RD) cost of base layer skip mode. RD cost of base layer skip mode gives the correlation information of enhancement layer with base layer and base layer mode is used to reduce the number of candidate modes. We verify that the overall encoding time can be reduced up to 63 % through the analysis of experimental results.

    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
    Pages1297-1300
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
    Duration: 2010 Sept 262010 Sept 29

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Other

    Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
    Country/TerritoryHong Kong
    CityHong Kong
    Period10/9/2610/9/29

    Keywords

    • Adaptive
    • Inter-layer
    • Mode decision
    • Rate-distortion
    • Scalable video coding

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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