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35th Meeting: Sapporo, JP, July 2024 2024-07-18 03:57
AHG8: On combined pre- and post-processing and ROI-based adaptive QP for machine vision
Authors: Shurun Wang Alibaba Bin Li Alibaba Jie Chen Alibaba Y. Ye Alibaba Shurun Wang CityU
Abstract
This contribution reports the performance of enabling both pre- and post-processing and ROI-based adaptive QP for machine vision. According to experimental results, it is reported that when both pre- and post-processing and ROI-based adaptive QP in AGH8 software are enabled, the combined method achieves % (RA), % (LD) and % (AI) BD-rate savings for object detection task on the SFU-HW dataset under VCM CTC, which is higher than individually enabling pre- and post-processing or ROI-based adaptive QP for machine vision.
Cited:
JVET-AI0338 X
ARCHIVE :
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