diff --git a/configure b/configure
index 8569a60..46fc2bb 100755
--- a/configure
+++ b/configure
@@ -253,6 +253,8 @@ External library support:
   --enable-libopenh264     enable H.264 encoding via OpenH264 [no]
   --enable-libopenjpeg     enable JPEG 2000 de/encoding via OpenJPEG [no]
   --enable-libopenmpt      enable decoding tracked files via libopenmpt [no]
+  --enable-libopenvino     enable OpenVINO as a DNN module backend
+                           for DNN based filters like dnn_processing [no]
   --enable-libopus         enable Opus de/encoding via libopus [no]
   --enable-libpulse        enable Pulseaudio input via libpulse [no]
   --enable-librabbitmq     enable RabbitMQ library [no]
@@ -1790,6 +1792,7 @@ EXTERNAL_LIBRARY_LIST="
     libopenh264
     libopenjpeg
     libopenmpt
+    libopenvino
     libopus
     libpulse
     librabbitmq
@@ -2620,7 +2623,7 @@ cbs_mpeg2_select="cbs"
 cbs_vp9_select="cbs"
 dct_select="rdft"
 dirac_parse_select="golomb"
-dnn_suggest="libtensorflow"
+dnn_suggest="libtensorflow libopenvino"
 error_resilience_select="me_cmp"
 faandct_deps="faan"
 faandct_select="fdctdsp"
@@ -6347,6 +6350,7 @@ enabled libopenh264       && require_pkg_config libopenh264 openh264 wels/codec_
 enabled libopenjpeg       && { check_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version ||
                                { require_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version -DOPJ_STATIC && add_cppflags -DOPJ_STATIC; } }
 enabled libopenmpt        && require_pkg_config libopenmpt "libopenmpt >= 0.2.6557" libopenmpt/libopenmpt.h openmpt_module_create -lstdc++ && append libopenmpt_extralibs "-lstdc++"
+enabled libopenvino       && require libopenvino c_api/ie_c_api.h ie_c_api_version -linference_engine_c_api
 enabled libopus           && {
     enabled libopus_decoder && {
         require_pkg_config libopus opus opus_multistream.h opus_multistream_decoder_create
diff --git a/libavfilter/dnn/Makefile b/libavfilter/dnn/Makefile
index bb37298..d90137e 100644
--- a/libavfilter/dnn/Makefile
+++ b/libavfilter/dnn/Makefile
@@ -9,5 +9,6 @@ OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_native_layer_mat
 OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_native_layer_mathunary.o
 
 DNN-OBJS-$(CONFIG_LIBTENSORFLOW)             += dnn/dnn_backend_tf.o
+DNN-OBJS-$(CONFIG_LIBOPENVINO)               += dnn/dnn_backend_openvino.o
 
 OBJS-$(CONFIG_DNN)                           += $(DNN-OBJS-yes)
diff --git a/libavfilter/dnn/dnn_backend_openvino.c b/libavfilter/dnn/dnn_backend_openvino.c
new file mode 100644
index 0000000..f048bc2
--- /dev/null
+++ b/libavfilter/dnn/dnn_backend_openvino.c
@@ -0,0 +1,261 @@
+/*
+ * Copyright (c) 2020
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * DNN OpenVINO backend implementation.
+ */
+
+#include "dnn_backend_openvino.h"
+#include "libavformat/avio.h"
+#include "libavutil/avassert.h"
+#include <c_api/ie_c_api.h>
+
+typedef struct OVModel{
+    ie_core_t *core;
+    ie_network_t *network;
+    ie_executable_network_t *exe_network;
+    ie_infer_request_t *infer_request;
+    ie_blob_t *input_blob;
+    ie_blob_t **output_blobs;
+    uint32_t nb_output;
+} OVModel;
+
+static DNNDataType precision_to_datatype(precision_e precision)
+{
+    switch (precision)
+    {
+    case FP32:
+        return DNN_FLOAT;
+    default:
+        av_assert0(!"not supported yet.");
+        return DNN_FLOAT;
+    }
+}
+
+static DNNReturnType get_input_ov(void *model, DNNData *input, const char *input_name)
+{
+    OVModel *ov_model = (OVModel *)model;
+    char *model_input_name = NULL;
+    IEStatusCode status;
+    size_t model_input_count = 0;
+    dimensions_t dims;
+    precision_e precision;
+
+    status = ie_network_get_inputs_number(ov_model->network, &model_input_count);
+    if (status != OK)
+        return DNN_ERROR;
+
+    for (size_t i = 0; i < model_input_count; i++) {
+        status = ie_network_get_input_name(ov_model->network, i, &model_input_name);
+        if (status != OK)
+            return DNN_ERROR;
+        if (strcmp(model_input_name, input_name) == 0) {
+            ie_network_name_free(&model_input_name);
+            status |= ie_network_get_input_dims(ov_model->network, input_name, &dims);
+            status |= ie_network_get_input_precision(ov_model->network, input_name, &precision);
+            if (status != OK)
+                return DNN_ERROR;
+
+            // The order of dims in the openvino is fixed and it is always NCHW for 4-D data.
+            // while we pass NHWC data from FFmpeg to openvino
+            status = ie_network_set_input_layout(ov_model->network, input_name, NHWC);
+            if (status != OK)
+                return DNN_ERROR;
+
+            input->channels = dims.dims[1];
+            input->height   = dims.dims[2];
+            input->width    = dims.dims[3];
+            input->dt       = precision_to_datatype(precision);
+            return DNN_SUCCESS;
+        }
+
+        ie_network_name_free(&model_input_name);
+    }
+
+    return DNN_ERROR;
+}
+
+static DNNReturnType set_input_output_ov(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output)
+{
+    OVModel *ov_model = (OVModel *)model;
+    IEStatusCode status;
+    dimensions_t dims;
+    precision_e precision;
+    ie_blob_buffer_t blob_buffer;
+
+    status = ie_exec_network_create_infer_request(ov_model->exe_network, &ov_model->infer_request);
+    if (status != OK)
+        goto err;
+
+    status = ie_infer_request_get_blob(ov_model->infer_request, input_name, &ov_model->input_blob);
+    if (status != OK)
+        goto err;
+
+    status |= ie_blob_get_dims(ov_model->input_blob, &dims);
+    status |= ie_blob_get_precision(ov_model->input_blob, &precision);
+    if (status != OK)
+        goto err;
+
+    av_assert0(input->channels == dims.dims[1]);
+    av_assert0(input->height   == dims.dims[2]);
+    av_assert0(input->width    == dims.dims[3]);
+    av_assert0(input->dt       == precision_to_datatype(precision));
+
+    status = ie_blob_get_buffer(ov_model->input_blob, &blob_buffer);
+    if (status != OK)
+        goto err;
+    input->data = blob_buffer.buffer;
+
+    // outputs
+    ov_model->nb_output = 0;
+    av_freep(&ov_model->output_blobs);
+    ov_model->output_blobs = av_mallocz_array(nb_output, sizeof(*ov_model->output_blobs));
+    if (!ov_model->output_blobs)
+        goto err;
+
+    for (int i = 0; i < nb_output; i++) {
+        const char *output_name = output_names[i];
+        status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &(ov_model->output_blobs[i]));
+        if (status != OK)
+            goto err;
+        ov_model->nb_output++;
+    }
+
+    return DNN_SUCCESS;
+
+err:
+    if (ov_model->output_blobs) {
+        for (uint32_t i = 0; i < ov_model->nb_output; i++) {
+            ie_blob_free(&(ov_model->output_blobs[i]));
+        }
+        av_freep(&ov_model->output_blobs);
+    }
+    if (ov_model->input_blob)
+        ie_blob_free(&ov_model->input_blob);
+    if (ov_model->infer_request)
+        ie_infer_request_free(&ov_model->infer_request);
+    return DNN_ERROR;
+}
+
+DNNModel *ff_dnn_load_model_ov(const char *model_filename)
+{
+    DNNModel *model = NULL;
+    OVModel *ov_model = NULL;
+    IEStatusCode status;
+    ie_config_t config = {NULL, NULL, NULL};
+
+    model = av_malloc(sizeof(DNNModel));
+    if (!model){
+        return NULL;
+    }
+
+    ov_model = av_mallocz(sizeof(OVModel));
+    if (!ov_model)
+        goto err;
+
+    status = ie_core_create("", &ov_model->core);
+    if (status != OK)
+        goto err;
+
+    status = ie_core_read_network(ov_model->core, model_filename, NULL, &ov_model->network);
+    if (status != OK)
+        goto err;
+
+    status = ie_core_load_network(ov_model->core, ov_model->network, "CPU", &config, &ov_model->exe_network);
+    if (status != OK)
+        goto err;
+
+    model->model = (void *)ov_model;
+    model->set_input_output = &set_input_output_ov;
+    model->get_input = &get_input_ov;
+
+    return model;
+
+err:
+    if (model)
+        av_freep(&model);
+    if (ov_model) {
+        if (ov_model->exe_network)
+            ie_exec_network_free(&ov_model->exe_network);
+        if (ov_model->network)
+            ie_network_free(&ov_model->network);
+        if (ov_model->core)
+            ie_core_free(&ov_model->core);
+        av_freep(&ov_model);
+    }
+    return NULL;
+}
+
+DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output)
+{
+    dimensions_t dims;
+    precision_e precision;
+    ie_blob_buffer_t blob_buffer;
+    OVModel *ov_model = (OVModel *)model->model;
+    uint32_t nb = FFMIN(nb_output, ov_model->nb_output);
+    IEStatusCode status = ie_infer_request_infer(ov_model->infer_request);
+    if (status != OK)
+        return DNN_ERROR;
+
+    for (uint32_t i = 0; i < nb; ++i) {
+        status = ie_blob_get_buffer(ov_model->output_blobs[i], &blob_buffer);
+        if (status != OK)
+            return DNN_ERROR;
+
+        status |= ie_blob_get_dims(ov_model->output_blobs[i], &dims);
+        status |= ie_blob_get_precision(ov_model->output_blobs[i], &precision);
+        if (status != OK)
+            return DNN_ERROR;
+
+        outputs[i].channels = dims.dims[1];
+        outputs[i].height   = dims.dims[2];
+        outputs[i].width    = dims.dims[3];
+        outputs[i].dt       = precision_to_datatype(precision);
+        outputs[i].data     = blob_buffer.buffer;
+    }
+
+    return DNN_SUCCESS;
+}
+
+void ff_dnn_free_model_ov(DNNModel **model)
+{
+    if (*model){
+        OVModel *ov_model = (OVModel *)(*model)->model;
+        if (ov_model->output_blobs) {
+            for (uint32_t i = 0; i < ov_model->nb_output; i++) {
+                ie_blob_free(&(ov_model->output_blobs[i]));
+            }
+            av_freep(&ov_model->output_blobs);
+        }
+        if (ov_model->input_blob)
+            ie_blob_free(&ov_model->input_blob);
+        if (ov_model->infer_request)
+            ie_infer_request_free(&ov_model->infer_request);
+        if (ov_model->exe_network)
+            ie_exec_network_free(&ov_model->exe_network);
+        if (ov_model->network)
+            ie_network_free(&ov_model->network);
+        if (ov_model->core)
+            ie_core_free(&ov_model->core);
+        av_freep(&ov_model);
+        av_freep(model);
+    }
+}
diff --git a/libavfilter/dnn/dnn_backend_openvino.h b/libavfilter/dnn/dnn_backend_openvino.h
new file mode 100644
index 0000000..397847a
--- /dev/null
+++ b/libavfilter/dnn/dnn_backend_openvino.h
@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 2020
+ *
+ * This file is part of FFmpeg.
+ *
+ * FFmpeg is free software; you can redistribute it and/or
+ * modify it under the terms of the GNU Lesser General Public
+ * License as published by the Free Software Foundation; either
+ * version 2.1 of the License, or (at your option) any later version.
+ *
+ * FFmpeg is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+ * Lesser General Public License for more details.
+ *
+ * You should have received a copy of the GNU Lesser General Public
+ * License along with FFmpeg; if not, write to the Free Software
+ * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
+ */
+
+/**
+ * @file
+ * DNN inference functions interface for OpenVINO backend.
+ */
+
+
+#ifndef AVFILTER_DNN_DNN_BACKEND_OPENVINO_H
+#define AVFILTER_DNN_DNN_BACKEND_OPENVINO_H
+
+#include "../dnn_interface.h"
+
+DNNModel *ff_dnn_load_model_ov(const char *model_filename);
+
+DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output);
+
+void ff_dnn_free_model_ov(DNNModel **model);
+
+#endif
diff --git a/libavfilter/dnn/dnn_interface.c b/libavfilter/dnn/dnn_interface.c
index 62da55f..7973d3e 100644
--- a/libavfilter/dnn/dnn_interface.c
+++ b/libavfilter/dnn/dnn_interface.c
@@ -26,6 +26,7 @@
 #include "../dnn_interface.h"
 #include "dnn_backend_native.h"
 #include "dnn_backend_tf.h"
+#include "dnn_backend_openvino.h"
 #include "libavutil/mem.h"
 
 DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
@@ -53,6 +54,16 @@ DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
         return NULL;
     #endif
         break;
+    case DNN_OV:
+    #if (CONFIG_LIBOPENVINO == 1)
+        dnn_module->load_model = &ff_dnn_load_model_ov;
+        dnn_module->execute_model = &ff_dnn_execute_model_ov;
+        dnn_module->free_model = &ff_dnn_free_model_ov;
+    #else
+        av_freep(&dnn_module);
+        return NULL;
+    #endif
+        break;
     default:
         av_log(NULL, AV_LOG_ERROR, "Module backend_type is not native or tensorflow\n");
         av_freep(&dnn_module);
diff --git a/libavfilter/dnn_interface.h b/libavfilter/dnn_interface.h
index b20e5c8..f914265 100644
--- a/libavfilter/dnn_interface.h
+++ b/libavfilter/dnn_interface.h
@@ -30,7 +30,7 @@
 
 typedef enum {DNN_SUCCESS, DNN_ERROR} DNNReturnType;
 
-typedef enum {DNN_NATIVE, DNN_TF} DNNBackendType;
+typedef enum {DNN_NATIVE, DNN_TF, DNN_OV} DNNBackendType;
 
 typedef enum {DNN_FLOAT = 1, DNN_UINT8 = 4} DNNDataType;
 
