McFIS in hierarchical bipredictive picture-based video coding for referencing the stable area in a scene

Manoranjan Paul, W. Lin, C. T. Lau, B. Lee

Research output: Book chapter/Published conference paperConference paper

12 Citations (Scopus)

Abstract

H.264/AVC video coding standard with hierarchical bipredictivepicture (HBP) generally outperforms the other prediction structures such as 'IPPP...' and 'IBBP...' through better exploitation of data correlation using the preceding and succeeding reference frames. However, due to the different coding order of frames, the HBP scheme could not fully exploit the data correlations using multiple reference frames for occluded background, repetitive motion, etc.

In this paper, we propose a new HBP scheme which uses the most common reference frame in scene (McFIS) as a third reference frame with other two closest bipredictive reference frames assuming that foreground and background areas of the current frame are referenced from the two bipredicted frames and the McFIS respectively. The experimental results confirm that the proposed scheme outperforms two state-of-art algorithms by improving significant image quality with comparable computational time.
Original languageEnglish
Title of host publication2011 IEEE International Conference on Image Processing, ICIP 2011 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3521-3524
Number of pages4
ISBN (Print)9781457713033
DOIs
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing: ICIP 2011 - Square Brussels Meeting Center, Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011
http://www.icip2011.org/

Conference

Conference2011 18th IEEE International Conference on Image Processing
CountryBelgium
CityBrussels
Period11/09/1114/09/11
Internet address

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  • Cite this

    Paul, M., Lin, W., Lau, C. T., & Lee, B. (2011). McFIS in hierarchical bipredictive picture-based video coding for referencing the stable area in a scene. In 2011 IEEE International Conference on Image Processing, ICIP 2011 - Proceedings (pp. 3521-3524). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2011.6116473