In Recent Years, Extensive Research Efforts Have Been Dedicated To Automatic News Content Analysis. In This Paper, We Propose A Novel Algorithm For Anchorperson Detection In News Video Sequences. In This Method, The Raw News Videos Are Firstly Split Into Shots By A Four-threshold Method, And The Key Frames Are Extracted From Each Shot. After That, The Anchorperson Detection Is Conducted From These Key Frames By Using A Clustering-based Method Based On A Statistical Distance Of Pearson's Correlation Coefficient. To Evaluate The Effectiveness Of The Proposed Method, We Have Conducted Experiments On 10 News Sequences. In These Experiments, The Proposed Scheme Achieves A Recall Of 0.96 And A Precision Of 0.97 For Anchorperson Detection.
