Please refer to the original paper written by Steve Branson, Catherine Wah, and other authors.
The authors present an interactive and hybrid method for object classification. They introduce a general framework for incorporating object recognition algorithms into the problem. Experimental results show that this new approach drives up recognition accuracy while reduces the amount of human interactions.
Rather than trying to solve object recognition entirely, the authors focus on minimizing the amount of human labor. So, this is a combining of the computer vision techs and the human efforts.
They present a framework that researchers can plug their existing algorithms into, thus drive up performance for real-life applications. Users need only answer YES/NO questions.