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A two-stage h.264 based video compression method for automotive cameras
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Wang, Yiting, Chan, Pak Hung and Donzella, Valentina (2022) A two-stage h.264 based video compression method for automotive cameras. In: The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022, Coventry, UK, 24-26 May 2022. Published in: Proccedings of the The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 (In Press)
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WRAP-A-two-stage-h.264-based-video-compression-method-for-automotive-cameras-Wang-22.pdf - Accepted Version - Requires a PDF viewer. Download (1731Kb) | Preview |
Abstract
With the development of automated vehicles and advanced driver assistance systems, the compression of the large amount of data generated by the vehicle camera sensors becomes a necessary processing step to improve the automated driving system efficiency. H.264 is a widely adopted video compression scheme, and it has been designed for human vision. Rate control in H.264 uses fixed quantisation parameter, however, this process can lead to fluctuation in different regions of the image quality of each frame. In this paper, we propose a two-stageH.264 based video compression framework, named “Two Stage Compression (TSC)”, to compress the automotive camera videos with different values of compression rate in different regions of each frame. In the first stage, each frame will be divided into the region-of-interest and the region-out-of-interest. In the second- stage, different compression ratios will be applied based on the importance of the region. The experimental results show that under the same overall compression ratio, our proposed TSC increments the semantic-aware PSNR by 3.213 dB compared to uniform H.264 compression. Our method is also compared to uniform H.264 compression using a segmentation algorithm, with an improvement of 1.77% in mIOU, the average Intersection over- Union
| Item Type: | Conference Item (Paper) | |||||||||
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| Subjects: | Q Science > Q Science (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Automated vehicles , Driver assistance systems , Image processing, Video compression , Machine learning , Intelligent transportation systems, Automobiles -- Automatic control | |||||||||
| Journal or Publication Title: | Proccedings of the The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 | |||||||||
| Publisher: | IEEE | |||||||||
| Official Date: | 2022 | |||||||||
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| Status: | Peer Reviewed | |||||||||
| Publication Status: | In Press | |||||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | |||||||||
| Title of Event: | The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Coventry, UK | |||||||||
| Date(s) of Event: | 24-26 May 2022 | |||||||||
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