fiee 15(3): e2

Research Article

The Face Object based HEVC System for Video Call

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  • @ARTICLE{10.4108/icst.mobimedia.2015.258957,
    author={Xi Wang and Chenggang Yan and Qingming Huang and Li Su and Shuqiang Jiang and Xianglin Huang},
    title={The Face Object based HEVC System for Video Call},
    journal={EAI Endorsed Transactions on Future Intelligent Educational Environments},
    volume={1},
    number={3},
    publisher={EAI},
    journal_a={FIEE},
    year={2015},
    month={8},
    keywords={video coding, video calls, referent picture set, face processing},
    doi={10.4108/icst.mobimedia.2015.258957}
}
  • Xi Wang
    Chenggang Yan
    Qingming Huang
    Li Su
    Shuqiang Jiang
    Xianglin Huang
    Year: 2015
    The Face Object based HEVC System for Video Call
    FIEE
    EAI
    DOI: 10.4108/icst.mobimedia.2015.258957
Xi Wang1,*, Chenggang Yan2, Qingming Huang1, Li Su3, Shuqiang Jiang1, Xianglin Huang4
  • 1: Chinese Academy of Sciences
  • 2: Department of Automation, Tsinghua University
  • 3: University of Chinese Academy of Sciences
  • 4: Communication University of China
*Contact email: xi.wang@vipl.ict.ac.cn

Abstract

Guaranteing the quality of face object in video call is the key task for video coding systems under the constrained bandwidth of network. Conventionally, the face object is divided into disperse blocks under the hybrid coding framework. Therefore, the characteristics of the complete face object have not been fully used. Meanwhile, it is difficult to predict the complex affine transformations such as rotation and scaling of the face object in neighboring frames based on the current translation motion model.

In this paper, we propose an improved video coding scheme for video call. The complex transformation of complete face object is used to improve the compression effect. Experimental results show that our proposed method has better performance compared with HM12.0, the bits rate saving of face region is up to 19.59% under the similar visual quality .

Keywords
video coding, video calls, referent picture set, face processing
Published
2015-08-03
Publisher
EAI
http://dx.doi.org/10.4108/icst.mobimedia.2015.258957

Copyright © 2015 X. Wang al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.