System and method for encoding and decoding data

A method of encoding information for data processed using a first part of a neural network, the method comprising:

• determining a starting layer of a second part of the neural network, the neural network including at least the first part and the second part, the second part being different from the first part;
• and
• encoding information used for determining at least the starting layer of the second part of the neural network;
• wherein the neural network includes a layer of a first type which is a summation layer that generates one or more new tensors based on a plurality of tensors, and
• wherein the starting layer of the second part of the neural network is limited to a layer which is not the first type.

A decoder for decoding information for data generated by a first part of a neural network, the decoder comprising:

• a decoding unit configured to decode information for determining at least a starting layer of a second part of the neural network, the neural network including at least the first part and the second part, the second part being different from the first part;
• and
• a determining unit configured to determine the starting layer of the second part of the neural network based on the decoded information;
• wherein the neural network includes a layer of a first type which is a summation layer that generates one or more new tensors based on a plurality of tensors, and
• wherein the starting layer of the second part of the neural network is limited to a layer which is not the first type.

An encoder for encoding information for data processed using a first part of a neural network, the encoder comprising:

• a determining unit configured to determine a starting layer of a second part of the neural network, the neural network including at least the first part and the second part, the first part being different from the second part;
• and
• an encoding unit configured to encode information used for determining at least the starting layer of the second part of the neural network;
• wherein the neural network includes a layer of a first type which is a summation layer that generates one or more new tensors based on a plurality of tensors, and
• wherein the starting layer of the second part of the neural network is limited to a layer which is not the first type.

A non-transitory computer-readable storage medium which stores a program for executing a method of decoding information for data generated by a first part of a neural network, the method comprising:

• decoding information for determining at least a starting layer of a second part of the neural network, the neural network including at least the first part and the second part, the second part being different from the first part;
• and
• determining the starting layer of the second part of the neural network based on the decoded information;
• wherein the neural network includes a layer of a first type which is a summation layer that generates one or more new tensors based on a plurality of tensors, and
• wherein the starting layer of the second part of the neural network is limited to a layer which is not the first type.

A non-transitory computer-readable storage medium which stores a program for executing a method of encoding information for data processed using a first part of a neural network, the method comprising:

• determining a starting layer of a second part of the neural network, the neural network including at least the first part and the second part, the first part being different from the second part;
• and
• encoding information used for determining at least the starting layer of the second part of the neural network;
• wherein the neural network includes a layer of a first type which is a summation layer that generates one or more new tensors based on a plurality of tensors, and
• wherein the starting layer of the second part of the neural network is limited to a layer which is not the first type.