Fusion of multiple cue image partitions is described as an indispensable tool towards the goal of automatic object-based image and video segmentation, interpretation and coding. Since these tasks involve human cognition and knowledge of image semantics, which are absent in most cases, fusion of all available cues is crucial for effective segmentation of generic video sequences. This chapter investigates fuzzy data fusion techniques which are capable of integrating the results of multiple cue segmentation and provide time consistent spatiotemporal image partitions corresponding to moving objects.