Abstract
Machine analysis of visual signals has been providing fundamental infrastructure support for artificial intelligence (AI) applications. As such, the compact representation of visual signal towards machine analysis is critical in current AI systems. A straightforward and general pipeline of visual signal compression for machines is to compress the visual signal, then perform the machine analysis on the reconstructed visual signal for ultimate results. This pipeline naturally supports multiple machine vision tasks and human perception, and is denoted as visual signal compression towards machines (VSCM). This paper provides an overview to summarize the VSCM related technologies in terms of various modules, and envision the future development of VSCM.
| Original language | English |
|---|---|
| Title of host publication | MHV 2024 - Proceedings of the 3rd Mile-High Video Conference |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 126-127 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798400704932 |
| DOIs | |
| State | Published - 11 Feb 2024 |
| Externally published | Yes |
| Event | 3rd Mile-High Video Conference, MHV 2024 - Denver, United States Duration: 11 Feb 2024 → 14 Feb 2024 |
Publication series
| Name | MHV 2024 - Proceedings of the 3rd Mile-High Video Conference |
|---|
Conference
| Conference | 3rd Mile-High Video Conference, MHV 2024 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 11/02/24 → 14/02/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- compression towards machine vision
- Visual signal compression
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