relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3083/
title: Adaptive Long-term Reference Selection for Efficient Scalable Surveillance Video Coding
creator: Dao Thi Hue, Le
creator: Pham Van, Giap
creator: Hoang Van, Xiem
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: 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.
date: 2018-09-12
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3083/1/2018.07.21.%20McSoc_Camera%20ready_1page.pdf
identifier:   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.     
relation: http://mcsoc-forum.org/