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Downsampling01:20

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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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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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Codec and GOP Identification in Double Compressed Videos.

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    This study introduces a method to identify the original video codec and group of pictures (GOP) size, even after multiple re-encodings. This aids video forensics and quality assessment by revealing compression history.

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    Area of Science:

    • Digital video processing
    • Video compression analysis
    • Digital forensics

    Background:

    • Video content is often re-encoded multiple times, obscuring its original compression details.
    • Analyzing the bitstream typically only reveals the last compression step.
    • Understanding the full compression history is crucial for video forensics and quality assessment.

    Purpose of the Study:

    • To develop a method for identifying the original video codec and group of pictures (GOP) size from a doubly-encoded video.
    • To enable the recovery of prior compression information lost in re-encoding processes.
    • To enhance capabilities in video forensics and video quality assessment.

    Main Methods:

    • Exploiting coding-based footprints left by the initial compression step.
    • Leveraging the near-idempotent nature of lossy video coding.
    • Analyzing similarities between video sequences subjected to a two-step coding process.

    Main Results:

    • Successfully identified the first codec and GOP size in a two-step encoding chain.
    • Validated the method on diverse codecs including MPEG-2, MPEG-4, H.264/AVC, and DIRAC.
    • Demonstrated proof of concept on videos downloaded from YouTube.

    Conclusions:

    • The proposed method effectively reveals prior video compression history, even after re-encoding.
    • This technique offers significant advantages for video forensics and quality assessment applications.
    • The approach is robust and applicable to real-world scenarios, including online video platforms.