Learning from Videos on the Web

Learning is the ultimate AI.  Accurate, unsupervised learning of readily available resources is good too.

Robot Learning Manipulation Action Plans by “Watching” Unconstrained Video from the World Wide Web
Yezhou Yang University of Maryland yzyang@cs.umd.edu ....

Abstract
In order to advance action generation and creation in robots beyond simple learned schemas we need computational tools that allow us to automatically interpret and represent human actions. This paper presents a system that learns manipulation action plans by processing unconstrained videos from the World Wide Web. Its goal is to robustly generate the sequence of atomic actions of seen longer actions in video in order to acquire knowledge for robots. The lower level of the system consists of two convolutional neural network (CNN) based recognition modules, one for classifying the hand grasp type and the other for object recognition. The higher level is a probabilistic manipulation action grammar based parsing module that aims at generating visual sentences for robot manipulation. Experiments conducted on a publicly available unconstrained video dataset show that the system is able to learn manipulation actions by “watching” unconstrained videos with high accuracy.  ... "