SUMMARY　Cross-component　linear　model　(CCLM)　chromaticity　prediction　is　a　new　technique　introduced　in　Versatile　Video　Coding　(VVC),　which　utilizes　the　reconstructed　luminance　component　to　predict　the　chromaticity　parts,　and　can　improve　the　coding　performance.　However,　it　increases　the　coding　complexity.　In　this　paper,　how　to　accelerate　the　chroma　intra-prediction　process　is　studied　based　on　texture　characteristics.　Firstly,　two　observations　have　been　found　through　experimental　statistics　for　the　process.　One　is　that　the　choice　of　the　chroma　intra-prediction　candidate　modes　is　closely　related　to　the　texture　complexity　of　the　coding　unit　(CU),　and　the　other　is　that　whether　the　direct　mode　(DM)　is　selected　is　closely　related　to　the　texture　similarity　between　current　chromaticity　CU　and　the　corresponding　luminance　CU.　Secondly,　a　fast　chroma　intra-prediction　mode　decision　algorithm　is　proposed　based　on　these　observations.　A　modified　metric　named　sum　modulus　difference　(SMD)　is　introduced　to　measure　the　texture　complexity　of　CU　and　guide　the　filtering　of　the　irrelevant　candidate　modes.　Meanwhile,　the　structural　similarity　index　measurement　(SSIM)　is　adopted　to　help　judging　the　selection　of　the　DM　mode.　The　experimental　results　show　that　compared　with　the　reference　model　VTM8.0,　the　proposed　algorithm　can　reduce　the　coding　time　by　12.92%　on　average,　and　increases　the　BD-rate　of　Y,　U,　and　V　components　by　only　0.05%,　0.32%,　and　0.29%　respectively.　Copyright　©　2021　The　Institute　of　Electronics,　Information　and　Communication　Engineers