We present ViViD, a variability-based tool to synthesize
variants of video sequences. ViViD is developed and used in
the context of an industrial project involving consumers and
providers of video processing algorithms. The goal is to
synthesize synthetic video variants with a wide range of characteristics
to then test the algorithms. We describe the key
components of ViViD (1) a variability language and an environment
to model what can vary within a video sequence;(2)
a reasoning back-end to generate relevant testing configurations;
(3) a video synthesizer in charge of producing variants
of video sequences corresponding to configurations. We
show how ViViD can synthesize realistic videos with differ-ent
characteristics such as luminances, vehicles and persons that
cover a diversity of testing scenarios