Abstract
Higher video frame-rates are being considered to achieve more realistic representations. Recent developments in CMOS image sensors have made high frame-rate video signals, over 1000 [Hz], feasible. Efficient coding methods are required for such high frame-rate video signals because of the sheer volume of data generated by such frame rates. Even though it is necessary to understand the statistical properties of these video signals for designing efficient coding methods, these properties have never been clarified, up to now. This chapter establishes, for high frame-rate video, two mathematical models that describe the relationship between frame-rate and bit-rate. The first model corresponds to temporal sub-sampling by frame skip. The second one corresponds to temporal down-sampling by mean filtering, which triggers the integral phenomenon that occurs when the frame-rate is downsampled.
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Bandoh, Y., Takamura, S., Jozawa, H., Yashima, Y. (2010). Mathematical Modeling for High Frame-Rate Video Signal. In: Mrak, M., Grgic, M., Kunt, M. (eds) High-Quality Visual Experience. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12802-8_8
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DOI: https://doi.org/10.1007/978-3-642-12802-8_8
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