Adapting the H.264 Standard to the Internet of Vehicles

Author:

Wiseman Yair1ORCID

Affiliation:

1. Computer Science Department, Bar-Ilan University, Ramat-Gan 5290002, Israel

Abstract

We suggest two steps of reducing the amount of data transmitted on Internet of Vehicle networks. The first step shifts the image from a full-color resolution to only an 8-color resolution. The reduction of the color numbers is noticeable; however, the 8-color images are enough for the requirements of common vehicles’ applications. The second step suggests modifying the quantization tables employed by H.264 to different tables that will be more suitable to an image with only 8 colors. The first step usually reduces the size of the image by more than 30%, and when continuing and performing the second step, the size of the image decreases by more than 40%. That is to say, the combination of the two steps can provide a significant reduction in the amount of data required to be transferred on vehicular networks.

Publisher

MDPI AG

Subject

Computer Science (miscellaneous)

Reference30 articles.

1. Punchihewa, A., and Bailey, D. (2020, January 25–27). A Review of Emerging Video Codecs: Challenges and Opportunities. Proceedings of the 2020 35th IEEE International Conference on Image and Vision Computing New Zealand (IVCNZ), Wellington, New Zealand.

2. Lu, Y., and Li, S. (2012, January 24–26). A review on developing status of stereo video technology. Proceedings of the 2012 IEEE International Conference on Computer Science and Information Processing (CSIP), Xi’an, China.

3. Optimizations for real-time implementation of H.264/AVC video encoder on DSP processor;Bahri;Int. Rev. Comput. Softw. (IRECOS),2013

4. Kang, K.D. (2022). A Review of Efficient Real-Time Decision Making in the Internet of Things. Technologies, 10.

5. Wiseman, Y. (2022). Research Anthology on Cross-Disciplinary Designs and Applications of Automation, IGI Global.

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