Base View Rate Control Algorithm Based on VVC for 3D Video Sequences


Tao Yan, Qian Zhang, Journal of Information Processing Systems Vol. 21, No. 6, pp. 613-623, Dec. 2025  

https://doi.org/10.3745/JIPS.02.0231
Keywords: Scene Switching, Structure Similarity, VVC, 3D video coding
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Abstract

A new generation of versatile video coding (VVC) standards was released in 2020; however, existing rate control algorithms for three-dimensional (3D) video coding based on VVC do not consider the effects of scene switching in actual video applications. Under the background of scene switching, the quality of encoded images degrades owing to the unreasonable allocations of coding resources. To solve this problem, this study proposes a 3D video basic view rate control algorithm based on scene switching detection of image structure similarity. First, scene switching is detected before coding. Basic view target bits estimated by the allocation model are first estimated by view weight factors. Finally, scene switching is judged by combining the structural similarity between frames with its transformation trend. When scene switching occurs, the rate control parameters and coding structure are adjusted in time. Experimental results show that the proposed algorithm not only tracks the target bit rate accurately but also significantly improves the reconstructed image quality in the case of scene switching and ensures that the decoder input buffer does not overflow or underflow.


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Cite this article
[APA Style]
Yan, T. & Zhang, Q. (2025). Base View Rate Control Algorithm Based on VVC for 3D Video Sequences. Journal of Information Processing Systems, 21(6), 613-623. DOI: 10.3745/JIPS.02.0231.

[IEEE Style]
T. Yan and Q. Zhang, "Base View Rate Control Algorithm Based on VVC for 3D Video Sequences," Journal of Information Processing Systems, vol. 21, no. 6, pp. 613-623, 2025. DOI: 10.3745/JIPS.02.0231.

[ACM Style]
Tao Yan and Qian Zhang. 2025. Base View Rate Control Algorithm Based on VVC for 3D Video Sequences. Journal of Information Processing Systems, 21, 6, (2025), 613-623. DOI: 10.3745/JIPS.02.0231.