HEVC based Stereo Video codec
HEVC based Stereo Video codec
- Author(s): B. Mallik ; A.S. Akbari ; P.B. Zadeh
- DOI: 10.1049/cp.2015.1764
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
2nd IET International Conference on Intelligent Signal Processing 2015 (ISP) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): B. Mallik ; A.S. Akbari ; P.B. Zadeh Source: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP), 2015 page ()
- Conference: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)
- DOI: 10.1049/cp.2015.1764
- ISBN: 978-1-78561-136-0
- Location: London, UK
- Conference date: 1-2 Dec. 2015
- Format: PDF
Development of stereo video codecs in latest multi-view extension of HEVC (MV-HEVC) with higher compression efficiency has been an active area of research. In this paper, a frame interleaved stereo video coding scheme based on MVHEVC standard codec is proposed. The proposed codec applies a reduced layer approach to encode the frame interleaved stereo sequences. A frame interleaving algorithm is developed to reorder the stereo video frames into a monocular video, such that the proposed codec can gain advantage from inter-views and temporal correlations to improve its coding performance. To evaluate the performance of the proposed codec; three standard multi-view test video sequences, named “Poznan_Street”, “Kendo” and “Newspaper1”, were selected and coded using the proposed codec and the standard MV-HEVC codec at different QPs and bitrates. Experimental results show that the proposed codec gives a significantly higher coding performance to that of the standard MV-HEVC codec at all bitrates.
Inspec keywords: stereo image processing; image sequences; video coding; data compression; video codecs
Subjects: Video signal processing; Computer vision and image processing techniques; Image and video coding
Related content
content/conferences/10.1049/cp.2015.1764
pub_keyword,iet_inspecKeyword,pub_concept
6
6