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diff --git a/compiler/loco/include/loco/IR/FilterCodec.h b/compiler/loco/include/loco/IR/FilterCodec.h
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+++ b/compiler/loco/include/loco/IR/FilterCodec.h
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __LOCO_IR_FILTER_CODEC_H__
+#define __LOCO_IR_FILTER_CODEC_H__
+
+#include "loco/IR/FilterShape.h"
+#include "loco/IR/FilterIndex.h"
+
+#include "loco/IR/TensorShape.h"
+#include "loco/IR/TensorIndex.h"
+
+namespace loco
+{
+
+/**
+ * @brief Decribe how to build a (convolution) filter from a tensor
+ *
+ * Let us assume that "enc" is a filter encoder.
+ *
+ * Given a tensor "inp" and its shape "inp.shape", "enc" builds a filter
+ * "out" as follows:
+ *
+ * for each valid filter index (referred to as filter_index below) for enc.shape(inp.shape)
+ *   out.at(filter_index) = inp.at(enc.value(filter_index))
+ */
+struct FilterEncoder
+{
+  virtual ~FilterEncoder() = default;
+
+  virtual FilterShape shape(const TensorShape &shape) const = 0;
+  virtual TensorIndex value(const FilterIndex &index) const = 0;
+};
+
+/**
+ * @brief Decribe how to build a a tensor from a filter
+ */
+struct FilterDecoder
+{
+  virtual ~FilterDecoder() = default;
+
+  virtual TensorShape shape(const FilterShape &shape) const = 0;
+  virtual FilterIndex value(const TensorIndex &index) const = 0;
+};
+
+} // namespace loco
+
+#endif // __LOCO_IR_FILTER_CODEC_H__