1. An information processing apparatus comprising: feature amount extraction means for extracting a feature amount of each frame of an image of attention detector learning content which is content used to learn a highlight detector that is a model for detecting a scene that is of interest to a user as a highlight scene; maximum likelihood state series estimation means for estimating maximum likelihood state series which is state series where there is a state transition with a highest likelihood that the feature amount of the attention detector learning content is observed in a content model that is a state transition probability model after learning obtained by extracting a state transition probability and a feature amount of each frame of an image of learning content that is content used to learn a state transition probability model that is prescribed as an observation probability of observing a predetermined observed value from the state, and learning the state transition probability model using the feature amount of the learning content; highlight label generation means for generating highlight label series with respect to the attention detector learning content by labeling each frame of the attention detector learning content as highlight label that indicates whether the scene is the highlight scene according to a user's manipulation; and learning means for learning the highlight detector that is the state transition probability model using the maximum likelihood state series obtained from the attention detector learning content and learning label series that is a pair to the highlight label series.