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07/12/2023
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation
Video frame interpolation is an increasingly important research task wit...
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07/04/2023
Query-based Video Summarization with Pseudo Label Supervision
Existing datasets for manually labelled query-based video summarization ...
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06/16/2022
PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network
In this paper we propose a generative adversarial network (GAN) framewor...
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05/13/2022
Slimmable Video Codec
Neural video compression has emerged as a novel paradigm combining train...
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05/13/2022
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture
Video frame interpolation involves the synthesis of new frames from exis...
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03/16/2022
Complexity Reduction of Learned In-Loop Filtering in Video Coding
In video coding, in-loop filters are applied on reconstructed video fram...
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01/22/2022
DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video
In this paper, we propose a deformable convolution-based generative adve...
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10/13/2021
Assisting News Media Editors with Cohesive Visual Storylines
Creating a cohesive, high-quality, relevant, media story is a challenge ...
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09/24/2021
Spatial Information Refinement for Chroma Intra Prediction in Video Coding
Video compression benefits from advanced chroma intra prediction methods...
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09/22/2021
DVC-P: Deep Video Compression with Perceptual Optimizations
Recent years have witnessed the significant development of learning-base...
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06/16/2021
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding
The versatility of recent machine learning approaches makes them ideal f...
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05/26/2021
Towards Transparent Application of Machine Learning in Video Processing
Machine learning techniques for more efficient video compression and vid...
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05/04/2021
Attention-based Stylisation for Exemplar Image Colourisation
Exemplar-based colourisation aims to add plausible colours to a grayscal...
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04/26/2021
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
Traditional video summarization methods generate fixed video representat...
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04/19/2021
DANICE: Domain adaptation without forgetting in neural image compression
Neural image compression (NIC) is a new coding paradigm where coding cap...
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02/09/2021
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
Neural networks can be successfully used to improve several modules of a...
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06/27/2020
Chroma Intra Prediction with attention-based CNN architectures
Neural networks can be used in video coding to improve chroma intra-pred...
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06/11/2020
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding
Deep learning has shown great potential in image and video compression t...
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04/23/2020
Analytic Simplification of Neural Network based Intra-Prediction Modes for Video Compression
With the increasing demand for video content at higher resolutions, it i...
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03/13/2020
Estimation of Rate Control Parameters for Video Coding Using CNN
Rate-control is essential to ensure efficient video delivery. Typical ra...
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08/26/2019
End-to-End Conditional GAN-based Architectures for Image Colourisation
In this work recent advances in conditional adversarial networks are inv...
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08/12/2019
Decision Trees for Complexity Reduction in Video Compression
This paper proposes a method for complexity reduction in practical video...
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08/09/2019
A Benchmark of Visual Storytelling in Social Media
Media editors in the newsroom are constantly pressed to provide a "like-...
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09/26/2018
