Systems and methods for content tagging

A mobile device for image tagging comprising:

• a memory;
• an image sensor coupled to the memory;
• and
• one or more processors coupled to the memory and configured to:
• access image data for a first image;
• initiate processing of the image data using a deep convolutional neural network (DCNN) executed by the one or more processors, the DCNN comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer;
• process the image data using at least the first layer of the first subgraph to generate first intermediate output data;
• process the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data;
• in response to a determination that each layer reliant on the first intermediate output data have completed processing, delete the first intermediate output data from the mobile device;
• processing the first subgraph output data using a first layer of the second subgraph to generate second intermediate data;
• processing the second intermediate data using a second layer of the second subgraph to generate second subgraph output data;
• and
• in response to a second determination that each layer reliant on the second intermediate data has completed processing, deleting the second intermediate data from the mobile device.

A non-transitory storage medium comprising instructions that, when executed by one or more processors of a mobile device, cause the mobile device to perform operations for local image tagging, the operations comprising:

• capturing, by an image sensor of the mobile device, the first image;
• processing the first image as captured by the image sensor to generate a file comprising the image data at a first pixel resolution associated with a pixel height and a pixel width;
• and
• storing the file in a second memory of the mobile device;
• accessing image data for a first image;
• initiating processing of the image data using a deep convolutional neural network (DCNN) executed by the one or more processors, the DCNN comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer;
• processing the image data using at least the first layer of the first subgraph to generate first intermediate output data;
• processing the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data;
• in response to a determination that each layer reliant on the first intermediate output data have completed processing, deleting the first intermediate output data from the mobile device;
• processing the first subgraph output data using a first layer of the second subgraph to generate second intermediate data;
• processing the second intermediate data using a second layer of the second subgraph to generate second subgraph output data;
• and
• in response to a second determination that each layer reliant on the second intermediate data has completed processing, deleting the second intermediate data from the mobile device.