Spatial Resampling of IDR Frames for Low Bitrate Video Coding with HEVC

Brett Hosking, Dimitris Agrafiotis, David Bull, Nick Easton

Research output: Contribution to conferenceConference Paperpeer-review

2 Citations (Scopus)


As the demand for higher quality and higher resolution video increases, many applications fail to meet this demand due to low bandwidth restrictions. One factor contributing to this problem is the high bitrate requirement of the intra-coded Instantaneous Decoding Refresh (IDR) frames featuring in all video coding standards. Frequent coding of IDR frames is essential for error resilience in order to prevent the occurrence of error propagation. However, as each one consumes a huge portion of the available bitrate, the quality of future coded frames is hindered by high levels of compression. This work presents a new technique, known as Spatial Resampling of IDR Frames (SRIF), and shows how it can increase the rate distortion performance by providing a higher and more consistent level of video quality at low bitrates.
Original languageEnglish
Publication statusPublished - 4 Mar 2015


Dive into the research topics of 'Spatial Resampling of IDR Frames for Low Bitrate Video Coding with HEVC'. Together they form a unique fingerprint.

Cite this