@inproceedings{SisLab3083,
       booktitle = {IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018)},
           month = {September},
           title = {Adaptive Long-term Reference Selection for Efficient Scalable Surveillance Video Coding},
          author = {Le Dao Thi Hue and Giap Pham Van and Xiem Hoang Van},
            year = {2018},
           pages = {1--4},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3083/},
        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.}
}