Panonut360: A Head and Eye Tracking Dataset for Panoramic Video

arXiv:2403.17708v1 Announce Type: new
Abstract: With the rapid development and widespread application of VR/AR technology, maximizing the quality of immersive panoramic video services that match users' personal preferences and habits has become a long-standing challenge. Understanding the saliency region where users focus, based on data collected with HMDs, can promote multimedia encoding, transmission, and quality assessment. At the same time, large-scale datasets are essential for researchers and developers to explore short/long-term user behavior patterns and train AI models related to …

abstract application arxiv become challenge cs.cv cs.hc cs.mm data dataset development focus habits head immersive match promote quality services technology tracking type understanding video