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 language | English |
|---|---|
| Pages (from-to) | 16-30 |
| Number of pages | 15 |
| Journal | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
| Volume | 15 |
| Issue number | 1 |
| Early online date | 30 Dec 2024 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
Publisher Copyright:© 2024 IEEE. All rights reserved.
Funding
This work was supported in part by the Innovation and Technology Fund (ITF) Project under Grant GHP/044/21SZ and in part by the Research Grants Council (RGC) General Research Fund under Grant 11203220/11200323.
Keywords
- Compact data representation
- energy efficiency
- green technology
- sustainable multimedia
- visual data compression
