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Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
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Quantization Parameter Cascading for Surveillance Video Coding Considering All Inter Reference Frames.

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    This study introduces an optimized Quantization Parameter Cascading (QPC) technique for surveillance video coding. The new method, QPC-SV, improves coding efficiency in low-delay (LD) configurations of High Efficiency Video Coding (HEVC) by considering reference frame dependencies.

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    Area of Science:

    • Video Compression
    • Digital Signal Processing
    • Computer Vision

    Background:

    • Video surveillance systems are widespread, requiring efficient video coding for transmission and storage.
    • Low-delay (LD) configurations of High Efficiency Video Coding (HEVC) are crucial for real-time surveillance video transmission.
    • Current Quantization Parameter Cascading (QPC) in HEVC test models (HM) lacks optimization due to unaddressed reference dependency.

    Purpose of the Study:

    • To propose an efficient Quantization Parameter Cascading (QPC) technique for surveillance video coding.
    • To enhance the coding efficiency of HEVC's low-delay (LD) configuration by optimizing QP selection.
    • To address the limitations of existing QPC methods in HEVC by incorporating inter-reference frame dependencies.

    Main Methods:

    • Developed a novel QPC technique, termed QPC-SV, specifically for surveillance video coding.
    • Integrated consideration of all inter-reference frames within the HEVC LD configuration.
    • Evaluated QPC-SV against the default QPC in the HEVC test model (HM).

    Main Results:

    • The proposed QPC-SV technique demonstrates significant rate-distortion performance gains.
    • Achieved average BD-rate improvements of -9.35% for LDP and -9.76% for LDB configurations.
    • The method effectively leverages reference frame information for enhanced coding efficiency.

    Conclusions:

    • QPC-SV offers a superior approach to Quantization Parameter Cascading for HEVC LD surveillance video coding.
    • The proposed technique provides substantial improvements in coding efficiency compared to existing methods.
    • Optimizing QPC by considering inter-reference frames is vital for effective surveillance video compression.