Gradient-Based Intraprediction Fusion for Video Coding
| Autor: | Mohsen Abdoli, Thomas Guionnet, Gosala Kulupana, Saverio Blasi, Mickaël Raulet |
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| Rok vydání: | 2021 |
| Předmět: |
Reference software
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Single-mode optical fiber Luminance Computer Science Applications Hardware and Architecture Signal Processing Media Technology Chrominance Codec business Encoder Software Decoding methods Computer hardware Coding (social sciences) |
| Zdroj: | IEEE MultiMedia. 28:88-96 |
| ISSN: | 1941-0166 1070-986X |
| DOI: | 10.1109/mmul.2020.3042280 |
| Popis: | Video coding is more important than ever due to emergence of larger resolutions, new formats requiring higher bandwidths, prevalence of new video services, etc. Consequently, new codecs are designed to minimize transmission rates of such contents without sacrificing quality. This article proposes an intraprediction solution for future video codecs that save the bit rates of intramode signaling for luminance and chrominance blocks. In doing so, modes are implicitly derived at the decoder side through a gradient-based analysis. In contrast to state-of-the-art intraprediction that uses a single mode for a luma block, the proposed method offers a combination of multiple derived modes. Furthermore, the chrominance components Cb/Cr are allowed to have their separate modes, instead of sharing one mode. The implementation of the proposed method in the Versatile Video Coding reference software (VTM) provides 0.72% Bjontegaard-delta rate saving, with run-time complexity of 110% and 104% at the encoder and decoder sides, respectively. |
| Databáze: | OpenAIRE |
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