In this paper, three techniques for video sequence retrieval which use statistical measures of color patterns in shots are proposed and compared. The first technique is based on a correlation of the MPEG7 Dominant Color Descriptor (DC)  as single characteristic feature of a shot. The second approach is to model color pattern distribution in a shot with a codebook, obtained by VQ (Vector Quantization) of the frame blocks composing the shot. The last one models the color pattern distribution using a GMM (Gaussian Mixture Model). Such descriptors are used to establish correspondence between non consecutive camera records through an appropriately designed similarity measure. As such, a new distance measure is used in the comparison between the shot descriptors, by extending the metric proposed in . A comparison is made of the dissimilarity performance associated with each of the three proposed descriptors, demonstrating the superior results obtainable with the VQ based approach.