We evaluate in this paper how the hypothesis that basic video and audio features present homogeneous values during programs can be exploited by a GLR-BIC segmentation algorithm to identify programs in days of television contents. The homogeneity criterion is evaluated by the ability to describe this feature values with a Gaussian law. On the base of results obtained from rough audio and video features, this paper evaluates the improvement obtained by an early fusion of these features, and by a prior usage of the existence of monochromatic frames in commercials.