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.

中文翻译：

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基于视觉显着性和时间相关性的基于对象的视频编码

当灾害发生时，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，重要对象的质量会下降。在本文中，提出了一种基于对象的视频编码方法来解决这个问题。所提出的方法基于视觉显着性和帧之间的时间相关性来提取对象。随后，我们在使用 HEVC 对视频进行编码之前执行降低背景质量的预处理。这种方法可以在保持目标对象质量的同时降低比特率。与 HEVC 的实验比较证明了所提出方法的优越性能。