As　a　new-generation　video　coding　standard,　Alliance　for　Open　Media　Video　1　(AV1)　introduces　flexible　and　diverse　block　partition　types　to　improve　coding　efficiency,　but　also　increases　coding　complexity.　To　address　this　issue,　we　propose　a　low-complexity　AV1　intra　prediction　algorithm　using　Long-edge　Sparse　Sampling　(LSS)　and　Chroma　Migrating　from　Luma　(CML)　for　efficiently　encoding　video　sequences.　First,　we　develop　an　LSS　method　by　selecting　key　reference　pixels　based　on　block　partition　condition　to　reduce　computational　complexity.　Second,　we　exploit　a　CML　algorithm　which　combines　the　angle　mode　of　the　luma　component　and　the　spatial　correlations　of　chroma　components　to　derive　more　accurate　linear　model　parameters　between　the　luma　and　chroma　components.　Experimental　results　show　that　LSS　avoids　division　operations,　reducing　93%　of　addition　operations.　Combined　with　CML,　our　approach　saves　4.97%　time　and　enhances　coding　performance　compared　to　standard　AV1,　particularly　improving　chroma　component　quality.　©　2025