  In Sequential Massive Random Access (SMRA), a set of correlated sources is
jointly encoded and stored on a server, and clients want to access to only a
subset of the sources. Since the number of simultaneous clients can be huge,
the server is only authorized to extract a bitstream from the stored data: no
re-encoding can be performed before the transmission of a request. In this
paper, we investigate the SMRA performance of lossy source coding of Gaussian
sources with memory. In practical applications such as Free Viewpoint
Television, this model permits to take into account not only inter but also
intra correlation between sources. For this model, we provide the storage and
transmission rates that are achievable for SMRA under some distortion
constraint, and we consider two particular examples of Gaussian sources with
memory.
