360-Degree Video Super Resolution and Quality Enhancement Challenge
Overview
Omnidirectional visual content, commonly referred to as 360-degree images and videos, has garnered significant interest in both academia and industry, establishing itself as the primary media modality for VR/XR applications. 360-degree videos offer numerous features and advantages, allowing users to view scenes in all directions, providing an immersive quality of experience with up to 3 degrees of freedom (3DoF). When integrated on embedded devices with remote control, 360-degree videos offer additional degrees of freedom, enabling movement within the space (6DoF). However, 360-degree videos come with specific requirements, such as high-resolution content with up to 16K video resolution to ensure a high-quality representation of the scene. Moreover, limited bandwidth in wireless communication, especially under mobility conditions, imposes strict constraints on the available throughput to prevent packet loss and maintain low end-to-end latency. Adaptive resolution and efficient compression of 360-degree video content can address these challenges by adapting to the available throughput while maintaining high video quality at the decoder. Nevertheless, the downscaling and coding of the original content before transmission introduces visible distortions and loss of information details that cannot be recovered at the decoder side. In this context, machine learning techniques have demonstrated outstanding performance in alleviating coding artifacts and recovering lost details, particularly for 2D video. Compared to 2D video, 360-degree video presents a lower angular resolution issue, requiring augmentation of both the resolution and the quality of the video. This challenge presents an opportunity for the scientific research and industrial community to propose solutions for quality enhancement and super-resolution for 360-degree videos.
We are pleased to announce a two-track challenge for contributors. Each track is designed to meet different objectives:
Track 1: ICIP 24 Challenge
Objective: This track is specifically designed for contributors aiming to submit a challenge paper to the ICIP 24.
Description: X2 super-resolution.
Awards: The top three models will be invited to submit their papers to ICIP 2024. If accepted, authors will have the prestigious opportunity to present their work during the conference days in Abu Dhabi. Moreover, the top three models will awarded as follows:
First prize winner: Certificate & 1000$
Second prize winner: Certificate & 500$
Third prize winner: Certificate
Track 2: Innovation showcase
Objective: This track is designed for long-term developments and innovative solutions.
Description: X4 super-resolution.
Awards: The top three models in this track will be eligible for awards. The prizes for the top three models are as follows:
First prize winner: 3500$
Second prize winner: 1500$
Third prize winner: 500$
Organizers
Ahmed Telili
Research Engineer @TII
Ibrahim FARHAT
Researcher @TII
Wassim Hamidouche
Principal Researcher @TII
Hadi Amirpour
Senior Researcher @AAU
Supported by Technology Innovation Institute (TII)
The Technology Innovation Institute (TII) is a leading global research center dedicated to pushing the frontiers of knowledge. Our teams of scientists, researchers and engineers work in an open, flexible and agile environment to deliver discovery science and transformative technologies. We are part of the Abu Dhabi Government’s Advanced Technology Research Council (ATRC), which oversees technology research in the emirate.
Questions ?
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