Object-Based Video Coding by Visual Saliency and Temporal Correlation
Object-Based Video Coding by Visual Saliency and Temporal Correlation
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DOI：
10.1109/tetc.2017.2695640
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发表时间：
2020-01-01
影响因子：
5.9
通讯作者：
Omachi, Shinichiro
中科院分区：
文献类型：
--
作者：
Ogasawara, Kazuya;Miyazaki, Tomo;Omachi, Shinichiro
当灾难发生时，视频通信是传播大量重要信息的有效方式。然而，高效视频编码 (HEVC) 等视频编码标准会压缩整个视频，无论内容是什么；在低比特率下，重要对象的质量会恶化。本文提出了一种基于对象的视频编码方法来解决这个问题。所提出的方法根据帧之间的视觉显着性和时间相关性来提取对象。随后，我们在使用 HEVC 编码视频之前执行预处理，降低背景质量。该方法可以在保持目标对象质量的同时降低比特率。与 HEVC 的实验比较证明了该方法的优越性能。
When a disaster occurs, video communication is an effective way to disseminate large quantities of important information. However, video coding standards such as High Efficiency Video Coding (HEVC) compress entire videos, whatever the contents are; at low bit rates, the quality of significant objects deteriorates. In this paper, an object-based video coding method is proposed to address this problem. The proposed method extracts objects on the basis of visual saliency and temporal correlation between frames. Subsequently, we execute pre-processing which degrades the background quality before encoding the video with HEVC. This method can reduce the bit rate while preserving target object quality. Experimental comparison with HEVC demonstrates the superior performance of the proposed method.