A　large　number　of　industrial　video　applications　are　expected　to　work　in　real-time　and　power-constrained　scenarios.　For　such　applications,　the　coding　complexity　has　a　great　impact　on　their　performance.　In　this　paper,　we　propose　a　complexity　control　method　in　the　high-efficiency　video　coding　intracoding　to　facilitate　these　video　applications.　The　proposed　method　is　performed　on　the　coding　tree　unit　(CTU)　level,　which　consists　of　three　steps,　namely　complexity　estimation,　complexity　allocation,　and　prediction　unit　(PU)　adaption.　In　the　first　step,　a　complexity　estimation　model　is　proposed　to　estimate　the　coding　complexity　of　each　CTU　based　on　the　sum　of　absolute　transformed　difference.　Then,　the　complexity　budget　is　allocated　to　each　CTU　proportionally　to　its　estimated　coding　complexity.　In　PU　adaption,　only　a　subset　of　PU　sizes　are　selected　for　the　CTU　according　to　its　allocated　complexity　and　prediction　performance.　A　feedback-based　error　elimination　scheme　removes　the　complexity　error　during　the　encoding　process.　Experimental　results　show　that　the　proposed　method　is　able　to　adjust　the　complexity　ratio　from　100%　to　20%.　Meanwhile,　the　rate-distortion　performance　and　complexity　control　accuracy　of　the　proposed　method　are　superior　to　those　of　the　state-of-the-art　methods.　©　2005-2012　IEEE.