Video frame interpolation is an increasingly important research task wit...
Existing datasets for manually labelled query-based video summarization ...
In this paper we propose a generative adversarial network (GAN) framewor...
Neural video compression has emerged as a novel paradigm combining train...
Video frame interpolation involves the synthesis of new frames from exis...
In video coding, in-loop filters are applied on reconstructed video fram...
In this paper, we propose a deformable convolution-based generative
adve...
Creating a cohesive, high-quality, relevant, media story is a challenge ...
Video compression benefits from advanced chroma intra prediction methods...
Recent years have witnessed the significant development of learning-base...
The versatility of recent machine learning approaches makes them ideal f...
Machine learning techniques for more efficient video compression and vid...
Exemplar-based colourisation aims to add plausible colours to a grayscal...
Traditional video summarization methods generate fixed video representat...
Neural image compression (NIC) is a new coding paradigm where coding
cap...
Neural networks can be successfully used to improve several modules of
a...
Neural networks can be used in video coding to improve chroma
intra-pred...
Deep learning has shown great potential in image and video compression t...
With the increasing demand for video content at higher resolutions, it i...
Rate-control is essential to ensure efficient video delivery. Typical
ra...
In this work recent advances in conditional adversarial networks are
inv...
This paper proposes a method for complexity reduction in practical video...
Media editors in the newsroom are constantly pressed to provide a "like-...
Video Quality Assessment (VQA) is a very challenging task due to its hig...