Affiliation:
1. Tampere University, Tampere, Finland
Abstract
The next generation of wireless networks fosters the adoption of latency-critical applications such as XR, connected industry, or autonomous driving. This survey gathers implementation aspects of different image and video coding schemes and discusses their tradeoffs. Standardized video coding technologies such as HEVC or VVC provide a high compression ratio, but their enormous complexity sets the scene for alternative approaches like still image, mezzanine, or texture compression in scenarios with tight resource or latency constraints. Regardless of the coding scheme, we found inter-device memory transfers and the lack of sub-frame coding as limitations of current full-system and software-programmable implementations.
Funder
Tampere University Graduate School
ECSEL Joint Undertaking
European Union’s Horizon 2020 research and innovation programme
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
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