Abstract | ||
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Real-time video performance is difficult to guarantee under mobile communication environments characterized by loss-probability-varying transmission channel, heterogeneous networks, and various mobile devices of different access capabilities. In this paper, a novel attention-based network-aware robust video coding scheme mixing adaptive intra refresh with reference picture selection is proposed to improve the visual experience for mobile video. This method unifies human visual attention, state information of wireless channel and hybrid refresh tools to realize optimum bitrate allocation so that uneven robustness for attentive image regions against the packet loss can be readily accomplished. Further, a set of tools serving for evaluating the refresh regions, refresh modes and reference decision are developed, considering a balance among the coding efficiency, error resilience and user experience. Experiments on H.264 show that the proposed scheme provides a much better subjective feeling than traditional refresh methods when compressed video is delivered over wireless channels. |
Year | DOI | Venue |
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2017 | 10.1109/ICMEW.2017.8026249 | 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | Field | DocType |
Robust video coding,error resilience,network-aware transmission,visual attention,mobile communication | Wireless,Computer science,Packet loss,Coding (social sciences),Real-time computing,Robustness (computer science),Mobile device,Decoding methods,Heterogeneous network,Mobile telephony | Conference |
ISSN | ISBN | Citations |
2330-7927 | 978-1-5386-0561-5 | 0 |
PageRank | References | Authors |
0.34 | 12 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhongyuan Wang | 1 | 227 | 25.14 |
Zhiqiang Hou | 2 | 24 | 4.89 |
Jing Xiao | 3 | 24 | 2.55 |
Ruoxi Wang | 4 | 6 | 3.14 |
Rong Zhu | 5 | 62 | 24.70 |