1. A method for scene change detection in media data, comprising: deriving a set of filtered values from the media data; identifying a plurality of seed time points among time points at which the set of filtered values derived from the media data reach extremum values; determining one or more statistical patterns of media features in a plurality of time-wise intervals around the plurality of seed time points of the media data using one or more types of features extractable from the media data, at least one of the one or more types of features comprising a type of features that captures structural properties, tonality including harmony and melody, timbre, rhythm, loudness, stereo mix, or a quantity of sound sources as related to the media data; detecting, based on the one or more statistical patterns, a plurality of beginning scene change points and a plurality of ending scene change points in the media data for the plurality of seed time points in the media data; wherein the method is performed by one or more computing devices.