Jan 10, 2020 · Towards collaborative compression and intelligent analytics, VCM attempts to bridge the gap between feature coding for machine vision and video coding for ...
In this paper, thanks to booming AI technology, e.g. prediction and generation models, we carry out exploration in the new area, Video Coding for. Machines (VCM) ...
Video coding, which targets to compress and reconstruct the whole frame, and feature compression, which only preserves and transmits the most critical ...
In this section, we provide preliminary experimental results from the perspectives of intermediate deep feature compres- sion and machine-human collaborative ...
The definition, formulation, and paradigm of VCM are given, and the preliminary results have demonstrated the performance and efficiency gains, ...
Dec 9, 2024 · Video coding, which targets to compress and reconstruct the whole frame, and feature compression, which only preserves and transmits the ...
Towards collaborative compression and intelligent analytics, VCM attempts to bridge the gap between feature coding for machine vision and video coding for human ...
Video Coding for Machines (VCM) is committed to bridging to an extent separate research tracks of video/image compression and feature compression.
Feb 20, 2024 · Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics. Video coding, which targets to compress and ...
Video Coding for Machines (VCM) is committed to bridging to an extent separate research tracks of video/image compression and feature compression.
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