As a crucial step in content-based news video indexing and retrieval system

shot boundary detection attracts much more research interests in recent years.To partition news video into shots

many metrics were constructed to measure the similarity among video frames based on all the available video features.However

too many features will reduce the efficiency of the shot boundary detection.Therefore

it is necessary to perform feature reduction for the decision rules of shot boundary.For this purpose

the classification method based on rough-fuzzy sets for feature reduction and the dissimilarity function is proposed.Finally

for each given class

the fuzzy if-then rule is generated for decision with fuzzy inference.The efficacy of the proposed method is extensively tested on more than 3 hour of CCTV news programs and 95.4% recall with 96.1% precision have been achieved.