An investigation on MPEG audio segmentation by evolutionary algorithms

The recent research efforts in the field of video parsing and analysis have recognized that the soundtrack represents an important supplementary source of content information. In this framework, one of the most relevant topics is that of detecting homogeneous segments within the audio stream, in that changes in the audio very often coincide with scene changes. We present some preliminary results obtained by using different evolutionary algorithms for detecting music and speech audio segments. The experiments have been carried out on MPEG encoded sequences to avoid the computational cost of the decoding procedures.