In this paper, we present a flexibly adaptable lifting scheme of motion-compensated temporal filtering (MCTF) that is based on a triadic decomposition structure and allows for temporal scalability by a factor of 3. In contrast to previous publications on this topic, our proposed framework employs bi-directional prediction and update operations, and rate-distortion optimized, locally adaptive motion estimation. Additionally, we propose a multi-hypothesis update step, discuss the optimization of the filter coefficients, and compare our results to the well-known dyadic lifting architecture using 5/3 filters.


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    Title :

    Flexible bi-directional triadic MCTF with multi-hypothesis update


    Contributors:
    Hanke, K. (author) / Meyer, S. (author) / Rusert, T. (author)


    Publication date :

    2005-01-01


    Size :

    185260 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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