TY - JOUR
T1 - Compact Visual Data Representation for Green Multimedia - A Human Visual System Perspective
AU - CHEN, Peilin
AU - FANG, Xiaohan
AU - WANG, Meng
AU - WANG, Shiqi
AU - MA, Siwei
N1 - Publisher Copyright:
© 2011 IEEE.
PY - 2024/12/30
Y1 - 2024/12/30
N2 - 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.
AB - 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.
KW - Compact data representation
KW - energy efficiency
KW - green technology
KW - sustainable multimedia
KW - visual data compression
UR - http://www.scopus.com/inward/record.url?scp=85214283769&partnerID=8YFLogxK
U2 - 10.1109/JETCAS.2024.3524260
DO - 10.1109/JETCAS.2024.3524260
M3 - Journal Article (refereed)
AN - SCOPUS:85214283769
SN - 2156-3357
JO - IEEE Journal on Emerging and Selected Topics in Circuits and Systems
JF - IEEE Journal on Emerging and Selected Topics in Circuits and Systems
ER -