To　ensure　the　security　of　images　outsourced　to　the　malicious　cloud　without　affecting　searchability　on　such　outsourced　(typically　encrypted)　images,　one　could　use　privacy-preserving　Content-Based　Image　Retrieval　(CBIR)　primitive.　However,　conventional　privacy-preserving　CBIR　schemes　based　on　Searchable　Symmetric　Encryption　(SSE)　are　not　capable　of　supporting　efficient　fine-grained　access　control　and　result　verification　simultaneously.　Therefore,　in　this　article,　we　propose　a　Verifiable　Fine-grained　encrypted　Image　Retrieval　scheme　in　the　Multi-owner　multi-user　settings　(VFIRM).　VFIRM　first　utilizes　a　novel　polynomial-based　access　strategy　to　provide　efficient　fine-grained　access　control.　Then,　it　employs　the　dual　secure　$k$k-nearest　neighbor　technique　to　distribute　distinct　keys　to　different　data　owners　and　data　users,　and　finally　implements　an　adapted　homomorphic　MAC　technique　to　check　the　correctness　of　search　results.　Our　formal　security　analysis　shows　that　VFIRM　is　non-adaptive　semantic　secure　if　the　client＇s　search　key　is　generated　randomly　and　keeps　in　secret.　Our　empirical　experiments　using　two　real-world　datasets　(i.e.,　Caltech101　and　Corel5k)　demonstrate　the　practicality　of　VFIRM.