
Proceedings Paper
Spatial resampling of IDR frames for low bitrate video coding with HEVCFormat | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100N (4 March 2015); doi: 10.1117/12.2083582
Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)
PDF: 6 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100N (4 March 2015); doi: 10.1117/12.2083582
Show Author Affiliations
Brett Hosking, Univ. of Bristol (United Kingdom)
Dimitris Agrafiotis, Univ. of Bristol (United Kingdom)
Dimitris Agrafiotis, Univ. of Bristol (United Kingdom)
David Bull, Univ. of Bristol (United Kingdom)
Nick Easton, BAE Systems (United Kingdom)
Nick Easton, BAE Systems (United Kingdom)
Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)
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