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Correction to: On the use of deep learning and parallelism techniques to significantly reduce the HEVC intra-coding time., , , , and . J. Supercomput., 79 (7): 8148-8149 (May 2023)Analysis of the Perceptual Quality Performance of Different HEVC Coding Tools., , , , and . IEEE Access, (2021)Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder., , , , and . Algorithms, 14 (11): 320 (2021)Impact of dead zone size on the rate/distortion performance of wavelet-based perceptual image encoders., , , and . ICMCS, page 65-70. IEEE, (2016)Performance Overview of the Latest Video Coding Proposals: HEVC, JEM and VVC., , , , and . J. Imaging, 7 (2): 39 (2021)Reinforcement Learning Through Gamification and Open Online Resources in Elementary School., , , and . RIIFORUM, page 455-463. Springer, (2022)On the use of deep learning and parallelism techniques to significantly reduce the HEVC intra-coding time., , , , and . J. Supercomput., 79 (11): 11641-11659 (2023)A Multi-Channel Packet Scheduling Approach to Improving Video Delivery Performance in Vehicular Networks., , , and . Comput., 13 (1): 16 (2024)Evaluating the Use of QoS for Video Delivery in Vehicular Networks., , , and . ICCCN, page 1-9. IEEE, (2020)Error Resilient Coding Techniques for Video Delivery over Vehicular Networks., , , , and . Sensors, 18 (10): 3495 (2018)