VILab Hits IEEE ICIP in China in September
26 September 2017
BVI’s Visual Information Laboratory had a strong presence at this year’s IEEE International Conference on Image Processing in Beijing, China. ICIP is the premier international conference in the field of image and video processing.
In this year’s IEEE International Conference on Image Processing in Beijing, China VILab had a strong presence. ICIP is the premier international conference in the field of image and video processing. The following six papers were accepted and presented either in poster sessions or as lectures attracting the audience interest:
- “Investigating the Impact of High Frame Rates on Video Compression”, Alex Mackin, Fan Zhang, Miltiadis Alexios Papadopoulos, Dave Bull;
- “A Frame Rate Dependent Video Quality Metric Based on Temporal Wavelet Decomposition and Spatiotemporal Pooling”, Fan Zhang, Alex Mackin, David Bull;
- “Low Complexity Video Coding Based on Spatial Resolution Adaptation”, Mariana Afonso, Fan Zhang, Angeliki Katsenou, Dimitris Agrafiotis, David Bull;
- “Video Quality Enhancement via QP Adaptation Based on Perceptual Coding Maps”, Miltiadis Alexios Papadopoulos, Yashas Rai, Angeliki Katsenou, Dimitris Agrafiotis, Patrick Le Callet, David Bull;
- “Blind High Dynamic Range Image Quality Assessment Using Deep Learning”, Sen Jia, Yang Zhang, Dimitris Agrafiotis, David Bull;
- “Synthesis of Fine Details in B Picture for Dynamic Textures”, Uday Singh Thakur, Madhukar Bhat, Max Bläser, Mathias Wien, David Bull, Jens-Rainer Ohm.
Besides the presented papers, Angeliki Katsenou and David Bull co-organised with RWTH and UoN a Grand Challenge on Video Compression. The challenge had the purpose of inviting researchers from across the world to deliver codecs that surpassed the state of the art in compression performance. Six submissions were received from the Peking University, the University of Bristol, the University of Electronic Science and Technology of China (UESTC), the Institute of Image Communication & Network Engineering Shanghai, the RWTH Aachen University and one more who wishes to remain anonymous. One of these submissions were coming from VILab researchers, Mariana Afonso (Ph.D. student) and Dr. Fan Zhang, who submitted a novel video compression framework named VISTRA. Three equivalent prizes were awarded by Netflix and IEEE Signal Processing Society to the best contributions, among which were our researchers. Moreover, VISTRA was selected as the audience’s favourite and most promising technology. This was an excellent outcome that recognised the outstanding achievements of the two researchers.