Distributed Video Coding (DVC) is an emerging video coding paradigm for the systems that require encoders having
low complexity that are supported by decoders having high complexity as would be required for, say, real-time video
capture and streaming from one mobile phone to display on another. Under the assumption of an error-free transmission
channel, the coding efficiency of current DVC systems is still below that of the latest conventional video codecs, such as
H.264/AVC. To increase coding efficiency we propose in this paper that either every second Key frame or every
Wyner-Ziv frame is downsampled by a factor of two in both dimensions prior to encoding and subsequent transmission.
However, this would necessitate upsampling coupled with interpolation at the decoder. Simple interpolation (e.g.,
bilinear or FIR filter) would not suffice since high-frequency (HF) spatial image content would be missing. Instead, we
propose the incorporation of a super-resolution (SR) technique that is based upon using example High Resolution images
with content that are specific to the Low Resolution scene that needs its HF content to be recovered. The example-based
scene-specific SR technique will add computational complexity to the decoder side of the DVC system, which is
allowable within the DVC framework. Rate-distortion curves will show that this novel combination of SR with DVC
improves the system performance by up to several decibels as measured by the PSNR, and can actually exceed the
performance of an H.264/AVC codec, using GOP=IP, for some video sequences.