Spatiotemporal super-resolution for low bitrate H.264 video

N Anantrasirichai, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
286 Downloads (Pure)

Abstract

Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-rate both in spatial and temporal dimensions. A quantisation noise model is used in the super-resolution estimator, designed for low bitrate video, and a weighting map for decreasing inaccuracy of motion estimation are proposed. Results show improvement both in rate-distortion and perceived image quality.
Translated title of the contributionSpatiotemporal super-resolution for low bitrate H.264 video
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages2809 - 2812
Number of pages4
DOIs
Publication statusPublished - 26 Sep 2010

Bibliographical note

Conference Organiser: IEEE

Fingerprint

Dive into the research topics of 'Spatiotemporal super-resolution for low bitrate H.264 video'. Together they form a unique fingerprint.

Cite this