Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding

Research article (2022 IEEE International Conference on Image Processing (ICIP), 2022) · cited 28× · AI/ML
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Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding

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Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-efficient-qt-mtt-partitioning-for-vvc-inter-coding
MLA “Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-efficient-qt-mtt-partitioning-for-vvc-inter-coding.
BibTeX @misc{4ortxyz_machine-learning-based-efficient-qt-mtt-partitioning-for-vvc-inter-coding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-efficient-qt-mtt-partitioning-for-vvc-inter-coding}, note = {Accessed: 2026-05-24}}
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