ICIP2024 challenge for 360 super resolution
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Updated
Jul 23, 2024 - Python
ICIP2024 challenge for 360 super resolution
Dataset and scripts for paper "A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods", Proc. 1st Int. Workshop on Video for Immersive Experiences (Video4IMX-2024) at ACM IMX 2024, Stockholm, Sweden, June 2024.
Library to predict user behavior in 360 videos.
🎥 Cross-platform immersive media player to allow live audiences to interact with immersive cinema presentations using their mobile devices. Made for Light Work's Urban Video Project.
PARIMA is a viewport adaptive 360-degree video streaming algorithm that takes into account the prime object trajectories as well as the head movement logs to predict the future viewports accurately
A deep neural network implementation for detection of food and drink intake gestures from video.
Audio-Visual Perception of Omnidirectional Video for Virtual Reality Applications
🎥 Full stack web application for live interaction with immersive cinema presentations via personal mobile device. Made for Light Work's Urban Video Project.
Modifications to improve single object tracking in 360° equirectangular videos.
This is a tool to annotate objects for 360 videos
360° Salient Spatial Sound Localization
Towards Audio-Visual Saliency Prediction for Omnidirectional Video with Spatial Audio
360 video Head and Eye movement prediction framework with two-stream models
Helper scripts for the paper of Voronoi-based Objective Quality Metrics for Omnidirectional Video
This repository contains python implementation of the paper: Super-resolution of Omnidirectional Images Using Adversarial Learning
Tools for the paper of IEEE Journal on Emerging and Selected Topics in Circuits and Systems: Visual Attention-Aware Omnidirectional Video Streaming Using Optimal Tiles for Virtual Reality
CP-360-Weakly-Supervised-Saliency
Visual SLAM for use with a 360 degree camera
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