It provides a standardized benchmark for training and testing deep learning-based video codecs, comparing them against traditional standards like HEVC (H.265) and VVC (H.266) [1, 2]. Why this file is used in research:
This paper introduces the BVI-DVC dataset, which includes g60772.mp4 as part of its diverse set of high-resolution video sequences [2].
A solid technical paper that utilizes this specific sequence is: Authors: S. Ma, X. Zhang, et al. (University of Bristol)
Researchers use it to evaluate how much detail is lost during the "encoding" (compression) process [1].
It provides a standardized benchmark for training and testing deep learning-based video codecs, comparing them against traditional standards like HEVC (H.265) and VVC (H.266) [1, 2]. Why this file is used in research:
This paper introduces the BVI-DVC dataset, which includes g60772.mp4 as part of its diverse set of high-resolution video sequences [2].
A solid technical paper that utilizes this specific sequence is: Authors: S. Ma, X. Zhang, et al. (University of Bristol)
Researchers use it to evaluate how much detail is lost during the "encoding" (compression) process [1].
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