从人眼系统看高效绿色视觉数据表示
Compact Visual Data Representation for Green Multimedia -- A Human Visual System Perspective
- 借鉴人眼视觉系统的压缩机制实现低能耗视觉数据表征
- 当前视频编码压缩比约1000倍，远低于人眼能力
- 适合关注可持续多媒体与知识提取的研究者
人眼视觉系统（HVS）具备极强的视觉信号超紧凑压缩能力，兼具高泛化性和能源效率。相比之下，最先进的通用视频编码（VVC）标准对原始视觉数据的压缩比约为1000倍。这一显著差距促使研究界从人眼系统中汲取灵感，以绿色方式高效处理海量视觉数据。本文综述了面向绿色多媒体的视觉数据高效表征方法，尤其聚焦于以知识提取为目标而非图像重建的任务。文章介绍了近期推动该领域绿色、可持续和高效发展的研究进展，并探讨深入理解HVS如何助力研究，展望未来绿色多媒体技术的发展方向。
原文摘要 · Abstract (English)
The Human Visual System (HVS), with its intricate sophistication, is capable of achieving ultra-compact information compression for visual signals. This remarkable ability is coupled with high generalization capability and energy efficiency. By contrast, the state-of-the-art Versatile Video Coding (VVC) standard achieves a compression ratio of around 1,000 times for raw visual data. This notable disparity motivates the research community to draw inspiration to effectively handle the immense volume of visual data in a green way. Therefore, this paper provides a survey of how visual data can be efficiently represented for green multimedia, in particular when the ultimate task is knowledge extraction instead of visual signal reconstruction. We introduce recent research efforts that promote green, sustainable, and efficient multimedia in this field. Moreover, we discuss how the deep understanding of the HVS can benefit the research community, and envision the development of future green multimedia technologies.
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