This　paper　presents　a　saliency　based　bag-of-phrases　(Saliency-BoP　for　short)　method　for　image　retrieval.　It　combines　saliency　detection　with　visual　phrase　construction　to　extract　bag-of-phrase　features.　To　achieve　this,　the　method　first　detects　salient　regions　in　images.　Then,　it　constructs　visual　phrases　using　the　word　pairs　which　are　from　the　same　salient　regions.　Finally,　it　extracts　the　bag　of　visual　phrases　from　the　first　K　salient　regions　to　describe　images.　Experimental　results　on　Corel　1K　and　Microsoft　Research　Cambridge　image　database　demonstrated　that　the　Saliency-BoP　method　outperforms　related　methods　such　as　Bag-of-Words　(BoW)　or　Saliency-BoW.　Copyright　©　ACM.