The　issues　related　Quality　of　Experience　(QoE)　have　been　attracting　increasing　attentions　in　video　transmission　as　the　QoE　is　considered　able　to　subjectively　measure　the　overall　experience　of video　applications　and　services.　At　the　user　end,　the　most　intuitive and　easily　measured　effect　is　the　video　intrinsic　quality.　Conventional　methods　inherently　neglect　in　their　computation　of　spatial　resolution　(i.e.,　frame size)　and　temporal　resolution　(i.e.,　frame　rate).　To　estimate　such　influence,　researchers　have　developed　several　empirical　models　by　summarizing　the　results　of　subjective　test.　Although these　studies　have　measured　what　the　influence　is,　they　have　not yet　addressed　two　other　important　issues:　(1)　why　the　influence　exists　from　human　visual　perception　perspective;　and　(2)　how　the　influence　is　related　to　diversified　natural　video　representation　forms. In　this　research,　we　exploit　human　visual　perception　and　natural　video　characteristics　to　provide　a　credible　explanation　on　these　issues.　Through　analyses　and　derivations,　we　propose an　analytical　model　to　illustrate　the　influence　of　spatial-temporal　resolutions　on　video　QoE　modeling　and　characterization.　This model　is　consistent　with　several　existing　empirical　models　and　can　also be　verified　with　the　scores　obtained　from　comprehensive　subjective　test.　In　addition,　the　proposed　model　enjoys　broader　applications on　video　and　image　services　without　obtaining　a　holistic　QoE　measure.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Singapore　Pte　Ltd.　2025.