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Proceedings Paper

Achieving H.264/AVC performance using distributed video coding combined with super-resolution
Author(s): Robert Klepko; Demin Wang; Grégory Huchet
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Paper Abstract

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.

Paper Details

Date Published: 31 January 2011
PDF: 14 pages
Proc. SPIE 7882, Visual Information Processing and Communication II, 788204 (31 January 2011); doi: 10.1117/12.871385
Show Author Affiliations
Robert Klepko, Communications Research Ctr. Canada (Canada)
Demin Wang, Communications Research Ctr. Canada (Canada)
Grégory Huchet, Communications Research Ctr. Canada (Canada)


Published in SPIE Proceedings Vol. 7882:
Visual Information Processing and Communication II
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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