Storage Space Allocation Strategy for Digital Data with Message Importance

20 Feb 2020 Liu Shanyun She Rui Zhu Zheqi Fan Pingyi

This paper mainly focuses on the problem of lossy compression storage from the perspective of message importance when the reconstructed data pursues the least distortion within limited total storage size. For this purpose, we transform this problem to an optimization by means of the importance-weighted reconstruction error in data reconstruction... (read more)

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Categories


  • INFORMATION THEORY
  • DATA STRUCTURES AND ALGORITHMS
  • INFORMATION THEORY