Advances in artificial intelligence: a review for the creative industries
Anantrasirichai N., Zhang F., Bull D. (2026)
NVRC: Neural Video Representation Compression
Bull D., Gao G., Gower A., Kwan H., Zhang F. (2024)
Chen Z., Sun H., Zhang L., Zhang F. (2024)
Texture-aware Video Frame Interpolation
Danier D., Bull D. (2021)
A Subjective Quality Study for Video Frame Interpolation
Danier D., Zhang F., Bull D. (2022)
Enhancing Deformable Convolution Based Video Frame Interpolation with Coarse-To-Fine 3d Cnn
Danier D., Zhang F., Bull D. (2022)
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpolation
Danier D., Zhang F., Bull D. (2022)
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
Danier D., Zhang F., Bull D. (2022)
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Danier D., Zhang F., Bull D. (2024)
BVI-VFI: A Video Quality Database for Video Frame Interpolation
Danier D., Zhang F., Bull DR. (2023)
Enhancing HDR Video Compression based on Deep Effective Bit Depth Adaptation
Feng C., Qi Z., Danier D., Zhang F., Xu X., Liu S., … Bull D. (2025)
ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing
Feng C., Danier D., Tan C., Zhang F., Bull D. (2022)
RankDVQA-Mini: Knowledge Distillation-Driven Deep Video Quality Assessment
Feng C., Danier D., Wang H., Zhang F., Vallade B., Mackin A., … Bull D. (2024)
RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training
Feng C., Danier D., Zhang F., Bull D. (2024)
BVI-Artefact: An Artefact Detection Benchmark Dataset for Streamed Videos
Feng C., Danier D., Zhang F., Mackin A., Collins A., Bull D. (2024)
MVAD: A Multiple Visual Artifact Detector for Video Streaming
Feng C., Danier D., Zhang F., Mackin A., Collins A., Bull D. (2025)
BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
Gao G., Azzarelli A., Kwan H., Anantrasirichai N., Zhang F., Andrew W., … Bull D. (2025)
PNVC: Towards Practical INR-based Video Compression
Gao G., Kwan H., Zhang F., Bull D. (2025)
GIViC: Generative Implicit Video Compression
Gao G., Teng S., Peng T., Zhan F., Bull D. (2025)
Advances in Neural Video Compression: A Review and Benchmarking
Gao G, Zhang A, Bull D et al (2026)
Foundations of Measuring Power and Energy Consumption in Video Communication
Herglotz C., Katsenou A., Wang X., Kränzler M., Schien D. (2025)
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution
Jiang Y., Feng C., Zhang F., Bull D. (2025)
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution
Jiang Y., Kwan H., Peng T., Gao G., Zhang F., Zhu X., … Bull D. (2025)
RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content
Jiang Y., Nawała J., Feng C., Zhang F., Zhu X., Sole J., … Bull D. (2025)
Compressing Deep Image Super-Resolution Models
Jiang Y., Nawała J., Zhang F., Bull D. (2024)
AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results
Karetin N., I Molodetskikh., D Vatolin., R Timofte., Y Yang., J Chen., … G Wu. (2025)
Study of compression statistics and prediction of rate-distortion curves for video texture
Katsenou A., Afonso M., Bull D. (2022)
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs
Katsenou A., Mao J., Mavromatis I. (2022)
Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming
Katsenou A., Menon V., Wieckowski A., Bross B., Marpe D. (2024)
Efficient Bitrate Ladder Construction for Content-Optimized Adaptive Video Streaming
Katsenou A., Sole J., Bull D. (2021)
Video Quality Sufficiency for Sustainable Video Streaming
Katsenou A., Wang X., Bull D., Schien D. (2023)
Comparative Study of Hardware and Software Power Measurements in Video Compression
Katsenou A., Wang X., Schien D., Bull D. (2024)
Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming?
Katsenou A., Wang X., Schien D., Bull D. (2024)
BVI-CC: A Dataset for Research on Video Compression and Quality Assessment
Katsenou A., Zhang F., Afonso M., Dimitrov G., Bull D. (2022)
A CNN-Based Post-Processor for Perceptually-Optimized Immersive Media Compression
Katsenou A., Zhang F., Bull D. (2022)
VMAF-based Bitrate Ladder Estimation for Adaptive Streaming
Katsenou A., Zhang F., Swanson K., Afonso M., Sole J., Bull D. (2021)
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Kwan H.M., Gao G., Zhang F., Gower A., Bull D. (2023)
Ultra-lightweight Neural Video Representation Compression
Kwan HM., Peng T., Gao G., Zhang F., Nilsson M., Gower A., … Bull D. (2025)
BVI-DVC: A Training Database for Deep Video Compression
Ma D., Zhang F., Bull D. (2022)
CVEGAN: A perceptually-inspired GAN for Compressed Video Enhancement
Ma D., Zhang F., Bull D. (2024)
BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
Nawała J., Jiang Y., Zhang F., Zhu X., Sole J., Bull D. (2024)
Parra-Ullauri J., Madhukumar H., Nicolaescu A., Zhang X., Bravalheri A., Hussain R., … Simeonidou D. (2024)
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
Parra-Ullauri J., Zhang X., Bravalheri A., Moazzeni S., Wu Y., Nejabati R., … Simeonidou D. (2024)
Peng T., Feng C., Danier D., Zhang F., Vallade B., Mackin A., Bull D. (2025)
Accelerating Learnt Video Codecs with Gradient Decay and Layer-Wise Distillation
Peng T., Gao G., Sun H., Zhang F., Bull D. (2024)
Full-Reference Video Quality Assessment for User Generated Content Transcoding
Qi Z., Feng C., Danier D., Zhang F., Xu X., Liu S., … Bull D. (2024)
Ramsook D., Vibhoothi., Kokaram A., Katsenou A., Bull D. (2024)
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Ren B., Guo H., Sun L., Wu Z., Timofte R., Li Y., … Corti G. (2025)
Assessing the Carbon Reduction Potential for Video Streaming from Short-Term Coding Changes
Schien D., Shabajee P., Akyol H., Benson L., Katsenou A. (2024)
GFix: Perceptually Enhanced Gaussian Splatting Video Compression
Teng S., Gao G., Danier D., Jiang Y., Zhang F., Davis T., … Bull D. (2026)
Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration
Teng S., Jiang Y., Gao G., Zhang F., Davis T., Liu Z., … Bull D. (2024)
Privacy Preservation in Kubernetes-based Federated Learning: A Networking Approach
Ullauri J.P., Gonzalez L., Bravalheri A., Hussain R., Vasilakos X., Vidal I., … Simeonidou D. (2023)
Intelligent Mobile Handover Prediction for Zero Downtime Edge Application Mobility
Uniyal N., Bravalheri A., Vasilakos X., Nejabati R., Simeonidou D., Featherstone W., … Warren D. (2021)
UGC quality assessment: exploring the impact of saliency in deep feature-based quality assessment
Wang X., Katsenou A., Bull D. (2023)
DIVA-VQA: Detecting Inter-Frame Variations in UGC Video Quality
Wang X., Katsenou A., Bull D. (2025)
Frame Differences Matter in Quality Assessment of Compressed Videos
Wang X., Katsenou A., Bull D. (2025)
Guiding WaveMamba with Frequency Maps for Image Debanding
Wang X., Tasmoc S., Anantrasirichai N., Katsenou A. (2025)
DRL for Network Slicing: Resource Efficiency Optimisation under Reconfiguration Avoidance
Wu Z., Bravalheri A., Parra Ullauri J., Nicolaescu A., Wu Y., Simeonidou D. (2025)
Service-Aware Maximum Likelihood-Based Network Slicing for Live Low-Latency Streaming
Wu Z., Bravalheri A., Parra Ullauri J., Wu Y., Simeonidou D. (2025)
ViSTRA2: Video coding using spatial resolution and effective bit depth adaptation
Zhang F., Afonso M., Bull D. (2021)
Video Compression With CNN-Based Postprocessing
Zhang F., Ma D., Feng C., Bull D. (2021)
Enhancing VMAF through New Feature Integration and Model Combination
Zhang F., Katsenou A., Bampis C., Krasula L., Li Z., Bull D. (2021)
Blind Video Super-Resolution based on Implicit Kernels
Zhu Q., Jiang Y., Zhu S., Zhang F., Bull D., Zeng B. (2025)
Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
Zhu Q., Meng X., Jiang Y., Zhang F., Bull D., Zhu S., … Wang R. (2026)