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 used to learn a content model that is used by a highlight detector to detect a scene that is of interest to a user as a highlight scene; maximum likelihood state series estimation means for estimating a maximum likelihood 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 the content model that is a state transition probability model prescribed as an observation probability of observing a predetermined observed value from the state and obtained by extracting and learning a state transition probability and a feature amount of each frame of an image of learning content; highlight label generation means for generating a highlight label series that provides each frame of the attention detector learning content with a highlight label indicating whether the scene is the highlight scene according to a user's manipulation; and learning means for learning the content model that is the state transition probability model using the maximum likelihood state series obtained from the attention detector learning content and the highlight label series that indicates whether each frame of the attention detector learning content is the highlight scene according to the user's manipulation.