Research into multi-modal perception, human cognition, behavior, and
attention can benefit from high-fidelity content that may recreate
real-life-like scenes when rendered on head-mounted displays. Moreover, aspects
of audiovisual perception, cognitive processes, and behavior may complement
questionnaire-based Quality of Experience (QoE) evaluation of interactive
virtual environments. Currently, there is a lack of high-quality open-source
audiovisual databases that can be used to evaluate such aspects or systems
capable of reproducing high-quality content. With this paper, we provide a
publicly available audiovisual database consisting of twelve scenes capturing
real-life nature and urban environments with a video resolution of 7680x3840 at
60 frames-per-second and with 4th-order Ambisonics audio. These 360 video
sequences, with an average duration of 60 seconds, represent real-life settings
for systematically evaluating various dimensions of uni-/multi-modal
perception, cognition, behavior, and QoE. The paper provides details of the
scene requirements, recording approach, and scene descriptions. The database
provides high-quality reference material with a balanced focus on auditory and
visual sensory information. The database will be continuously updated with
additional scenes and further metadata such as human ratings and saliency
information.Comment: 6 pages, 2 figures, accepted and presented at the 2022 14th
International Conference on Quality of Multimedia Experience (QoMEX).
Database is publicly accessible at https://qoevave.github.io/database