Adaptive Long-term Reference Selection for Efficient Scalable Surveillance Video Coding

Dao Thi Hue, Le and Pham Van, Giap and Hoang Van, Xiem (2018) Adaptive Long-term Reference Selection for Efficient Scalable Surveillance Video Coding. In: IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018), 12-14 September 2018, Hanoi city, Vietnam.

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Abstract

The exponential growth of video surveillance has been asking for a more powerful video coding solution, which is characterized by not only the high compression efficiency but also the adaptive video streaming capability. The surveillance video content, however, usually contains a large number of background areas and having high temporal correlation between frames. In this context, we propose a novel adaptive long-term reference mechanism for scalable surveillance video coding, which provides the quality and temporal scalabilities while achieving the high compression performance. The proposed long – term reference is mainly selected based on the content analysis of video sequence. The long-term reference selection solution is integrated into the most recent Scalable High Efficiency Video Coding (SHVC) standard. Experiments conducted for a rich set of surveillance videos show that the proposed scalable video coding solution can achieve around 5.38% bitrate saving when compared to the traditional SHVC video coding benchmark.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Electronics and Communications Electronics and Communications > Electronics and Computer Engineering
Divisions:	Faculty of Electronics and Telecommunications (FET)
Depositing User:	Dr. Xiem HoangVan
Date Deposited:	18 Oct 2018 06:44
Last Modified:	18 Oct 2018 06:44
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3083

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