Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier

Research article (2021 IEEE International Conference on Consumer Electronics (ICCE), 2021) · cited 19× · AI/ML
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Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier

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Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/speed-up-h-266-qtmt-intra-coding-based-on-predictions-of-resnet-and-random-forest-classifier
MLA “Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speed-up-h-266-qtmt-intra-coding-based-on-predictions-of-resnet-and-random-forest-classifier.
BibTeX @misc{4ortxyz_speed-up-h-266-qtmt-intra-coding-based-on-predictions-of-resnet-and-random-forest-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier}}, year = {2026}, url = {https://4ort.xyz/entity/speed-up-h-266-qtmt-intra-coding-based-on-predictions-of-resnet-and-random-forest-classifier}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speed Up H.266/QTMT Intra-Coding Based on Predictions of ResNet and Random Forest Classifier — https://4ort.xyz/entity/speed-up-h-266-qtmt-intra-coding-based-on-predictions-of-resnet-and-random-forest-classifier (retrieved 2026-05-24)

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