I turned in my PhD dissertation. Here’s the title and first paragraph of the abstract:
PRODUCTIVE VISION: METHODS FOR AUTOMATED IMAGE COMPREHENSION
Image comprehension is the ability to summarize, translate, and answer basic questions about images. Using original techniques for scene object parsing, material labeling, and activity recognition, a system can gather information about the objects and actions in a scene. When this information is integrated into a deep knowledge base capable of inference, the system becomes capable of performing tasks that, when performed by students, are considered by educators to demonstrate comprehension.
(Basically it is computer vision combined with Cyc.)
I turned in my PhD dissertation. Here’s the title and first paragraph of the abstract:
PRODUCTIVE VISION: METHODS FOR AUTOMATED IMAGE COMPREHENSION
Image comprehension is the ability to summarize, translate, and answer basic questions about images. Using original techniques for scene object parsing, material labeling, and activity recognition, a system can gather information about the objects and actions in a scene. When this information is integrated into a deep knowledge base capable of inference, the system becomes capable of performing tasks that, when performed by students, are considered by educators to demonstrate comprehension.
(Basically it is computer vision combined with Cyc.)