Current view representation methods in VR predominantly rely on static photographs and tone-mapping operators without temporal variations, limiting the exploration of dynamic features in a view. This study presents an alternative workflow to capture dynamic daylit views in VR by utilizing real-time videos and the camera's automatic tone-mapping procedures. Preliminary results from our previous pilot study demonstrated that the combination of real-time videos and a scale model provides perceptually accurate view-out perception in VR. This paper builds upon these findings by further validating the application of real-time videos for studying daylit view-out perception in VR, focusing on brightness and contrast measurements. By evaluating the suitability of the camera's automatic tone-mapping procedures in comparison to normative tone-mapping operators, this research establishes a foundation for new experimental approaches to reliably represent dynamic movements and temporal changes in views-out, enabling more comprehensive investigations in future studies.