Methods and apparatus for efficient execution of convolutional neural networks for compressed video sequences

A method comprising:

• processing a first frame of a video sequence with a neural network;
• storing intermediate results of at least one of a convolution layer or a pooling layer dense layer of the neural network, the intermediate results associated with the first frame;
• and
• processing a second frame of the video sequence based on the intermediate results associated with the first frame to skip processing of a temporally static image area of the second frame by the at least one of the convolution layer or a pooling layer, the temporally static image area common to the first frame and the second frame.

A non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least:

• process a first frame of a video sequence with a neural network;
• store intermediate results of at least one of a convolution layer or a pooling layer of the neural network, the intermediate results associated with the first frame;
• and
• process a second frame of the video sequence based on the intermediate results associated with the first frame to skip processing of a temporally static image area of the second frame by the at least one of the convolution layer or a pooling layer, the temporally static image area common to the first frame and the second frame.