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Bit allocation algorithm with novel view synthesis distortion model for multiview video plus depth coding.

Tae-Young Chung, Jae-Young Sim, Chang-Su Kim

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 25, 2014
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    Summary
    This summary is machine-generated.

    This study introduces an efficient bit allocation algorithm for multiview video plus depth (MVD) sequences. The novel approach optimizes coding by minimizing view synthesis distortion, improving synthesized virtual view quality.

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    Area of Science:

    • Computer Vision
    • Video Coding
    • Image Processing

    Background:

    • Multiview video plus depth (MVD) sequences require efficient coding to manage large data volumes.
    • Rate-distortion optimization is crucial for balancing video quality and bit-rate in MVD compression.
    • Accurate modeling of view synthesis distortion is essential for enhancing virtual view quality.

    Purpose of the Study:

    • To propose an efficient bit allocation algorithm for rate-distortion optimized coding of MVD sequences.
    • To develop a novel view synthesis distortion model that quantifies texture and depth distortion impacts.
    • To maximize the quality of synthesized virtual views and encoded real views within a limited bit budget.

    Main Methods:

    • Decomposing input frames into non-edge and edge blocks.
    • Deriving a view synthesis distortion model using linear approximation for non-edge blocks and gradient analysis for edge blocks.
    • Formulating a bit-rate allocation problem based on quantization parameters for texture and depth data.

    Main Results:

    • The proposed algorithm optimally allocates bit budgets between texture and depth data.
    • Significant average Peak Signal-to-Noise Ratio (PSNR) gains of 1.98 dB (two-view) and 2.04 dB (three-view) were achieved.
    • The algorithm outperforms conventional methods in synthesized virtual view quality.

    Conclusions:

    • The novel view synthesis distortion model effectively guides bit allocation for MVD coding.
    • The proposed algorithm offers a superior approach to rate-distortion optimization in MVD sequences.
    • This method enhances both virtual and real view quality in multiview video compression.