On Intra Video Coding and In-loop Filtering for Neural Object Detection Networks

Fischer K, Herglotz C, Kaup A (2020)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Pages Range: 1147-1151

Event location: Abu Dhabi (virtual Conference) AE

URI: https://arxiv.org/abs/2203.05927

DOI: 10.1109/ICIP40778.2020.9191023

Open Access Link: https://arxiv.org/abs/2203.05927

Abstract

Classical video coding for satisfying humans as the final user is a widely investigated field of studies for visual content, and common video codecs are all optimized for the human visual system (HVS). But are the assumptions and optimizations also valid when the compressed video stream is analyzed by a machine? To answer this question, we compared the performance of two state-of-the-art neural detection networks when being fed with deteriorated input images coded with HEVC and VVC in an autonomous driving scenario using intra coding. Additionally, the impact of the three VVC in-loop filters when coding images for a neural network is examined. The results are compared using the mean average precision metric to evaluate the object detection performance for the compressed inputs. Throughout these tests, we found that the Bjøntegaard Delta Rate savings with respect to PSNR of 22.2 % using VVC instead of HEVC cannot be reached when coding for object detection networks with only 13.6 % in the best case. Besides, it is shown that disabling the VVC in-loop filters SAO and ALF results in bitrate savings of 6.4 % compared to the standard VTM at the same mean average precision.

Authors with CRIS profile

Kristian Fischer Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Christian Herglotz Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Fischer, K., Herglotz, C., & Kaup, A. (2020). On Intra Video Coding and In-loop Filtering for Neural Object Detection Networks. In Proceedings of the IEEE International Conference on Image Processing (ICIP) (pp. 1147-1151). Abu Dhabi (virtual Conference), AE.

MLA:

Fischer, Kristian, Christian Herglotz, and André Kaup. "On Intra Video Coding and In-loop Filtering for Neural Object Detection Networks." Proceedings of the IEEE International Conference on Image Processing (ICIP), Abu Dhabi (virtual Conference) 2020. 1147-1151.

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