Recently　bag-of-words　(BoW)　model　as　image　feature　has　been　widely　used　in　content-based　image　retrieval.　Most　of　existing　approaches　of　creating　BoW　ignore　the　spatial　context　information.　In　order　to　better　describe　the　image　content,　the　BoW　with　spatial　context　information　is　created　in　this　paper.　Firstly,　image＇s　regions　of　interest　are　detected　and　the　focus　of　attention　shift　is　produced　through　visual　attention　model.　The　color　and　SIFT　features　are　extracted　from　the　region　of　interest　and　BoW　is　created　through　cluster　analysis　method.　Secondly,　the　spatial　context　information　among　objects　in　an　image　is　generated　by　using　the　spatial　coding　method　based　on　the　focus　of　attention　shift.　Then　the　image　is　represented　as　the　model　of　BoW　with　spatial　context.　Finally,　the　model　of　spatial　context　BoW　is　applied　into　image　retrieval　to　evaluate　the　performance　of　the　proposed　method.　Experimental　results　show　the　proposed　method　can　effectively　improve　the　accuracy　of　the　image　retrieval.