Abstract: There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive a plurality of training contents depicting a plurality of activities, extract training object data from the plurality of training contents including a first training object data corresponding to a first activity, extract training scene data from the plurality of training contents including a first training scene data corresponding to the first activity, determine that a probability of the first activity is maximized when the first training object data and the first training scene data both exist in a sample media content.

Abstract: Items of interest within digital information may be detected and associated with a label that provides context to the item of interest. The label may describe an item category of the item of interest. The knowledge base of item categories may be limited. Additional item categories may be learned by accessing sets of vocabulary that may relate to the known item categories.