Compact Visual Data Representation for Green Multimedia - A Human Visual System Perspective

Peilin CHEN, Xiaohan FANG, Meng WANG, Shiqi WANG*, Siwei MA

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

The Human Visual System (HVS), with its intricate sophistication, is capable of achieving ultra-compact information compression for visual signals. This remarkable ability is coupled with high generalization capability and energy efficiency. By contrast, the state-of-the-art Versatile Video Coding (VVC) standard achieves a compression ratio of around 1,000 times for raw visual data. This notable disparity motivates the research community to draw inspiration to effectively handle the immense volume of visual data in a green way. Therefore, this paper provides a survey of how visual data can be efficiently represented for green multimedia, in particular when the ultimate task is knowledge extraction instead of visual signal reconstruction. We introduce recent research efforts that promote green, sustainable, and efficient multimedia in this field. Moreover, we discuss how the deep understanding of the HVS can benefit the research community, and envision the development of future green multimedia technologies.

Original languageEnglish
JournalIEEE Journal on Emerging and Selected Topics in Circuits and Systems
DOIs
Publication statusE-pub ahead of print - 30 Dec 2024

Bibliographical note

Publisher Copyright:
© 2011 IEEE.

Keywords

  • Compact data representation
  • energy efficiency
  • green technology
  • sustainable multimedia
  • visual data compression

Fingerprint

Dive into the research topics of 'Compact Visual Data Representation for Green Multimedia - A Human Visual System Perspective'. Together they form a unique fingerprint.

Cite this