With the advance of multimediatechnology and communications, image and video data over the Internet contribute to the sea of media. Methods on how to search and findout user desired media contents becomesimportant. In this paper, we proposed an efficient content-based video retrieval (CBVR) method that integrated color, texture and SIFT-BOW (Bag of Word) image features for robust and higher retrieval performance. Experimental results showed that our proposed CBVR method can well manipulate both global and local features for retrieval and can outperforms the previous methods by 12.5% and 19.7 %in precision performance that adopts single and multi-feature types.