20 citations · 38 across the 6 of their papers we have counts for
7 papers
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation
Issa Khalifeh, Luka Murn, Marta Mrak +1
Video frame interpolation is an increasingly important research task with several key industrial applications in the video coding, broadcast and production sectors. Recently, trans…
Query-based Video Summarization with Pseudo Label Supervision
Jia-Hong Huang, Luka Murn, Marta Mrak +1
Existing datasets for manually labelled query-based video summarization are costly and thus small, limiting the performance of supervised deep video summarization models. Self-supe…
Complexity Reduction of Learned In-Loop Filtering in Video Coding
Woody Bayliss, Luka Murn, Ebroul Izquierdo +2
In video coding, in-loop filters are applied on reconstructed video frames to enhance their perceptual quality, before storing the frames for output. Conventional in-loop filters a…
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding
Luka Murn, Saverio Blasi, Alan F. Smeaton +1
The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bri…
Towards Transparent Application of Machine Learning in Video Processing
Luka Murn, Marc Gorriz Blanch, Maria Santamaria +2
Machine learning techniques for more efficient video compression and video enhancement have been developed thanks to breakthroughs in deep learning. The new techniques, considered…
GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization
Jia-Hong Huang, Luka Murn, Marta Mrak +1
Traditional video summarization methods generate fixed video representations regardless of user interest. Therefore such methods limit users' expectations in content search and exp…
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding
Luka Murn, Saverio Blasi, Alan F. Smeaton +2
Deep learning has shown great potential in image and video compression tasks. However, it brings bit savings at the cost of significant increases in coding complexity, which limits…