In this paper we propose a rate-distortion optimized multipass algorithm for video encoding. The problem of dependent quantization in a hybrid coding framework is addressed by constructing a trellis from the exponentially growing search tree which is then searched using a Lagrangian cost function. To avoid exponential growth, states with similarly distorted reference frames are merged based on the assumption that similar rate-distortion behavior results for future frames. The goal is to select an optimal quantizer for each frame such that the overall R-D performance is optimized. The algorithm is applied to MPEG-4 SP and typical average PSNR gains of 0.3 dB are achieved. A comparison with the DivX 5.2 codec shows PSNR gains of up to 2 dB.


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    Title :

    Rate-distortion optimized multipass video encoding with application to MPEG-4


    Contributors:
    Farber, N. (author) / Mohammed, H. (author) / Thoma, H. (author)


    Publication date :

    2005-01-01


    Size :

    221587 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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