Algorithms for video compression

视频压缩算法

• 批准号: 121369-2006
• 负责人: Zaccarin, André
• 金额: $ 1.69万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=338887
• 关键词: Algorithms; video; compression

The objective of this research program is to advance compression technology by 1) investigating fundamentally different approaches to frame prediction, and by 2) investigating means to choose encoding parameters to increase visual quality. The first objective will be achieved by identifying in each video frame scene features that can be found in other frames despite differences in viewpoint, scale or illumination. By matching these features, we will then establish a correspondance between frames that will improve compression ratios. The second objective of this proposal will be achieved by integrating, into a video encoder, means to objectively evaluate the visual quality of video, and adjust encoder parameters to maximise the visual quality. Both objectives will require computationally complex algorithms. However, for offline compression, and taking into account the continuing increase in processor computational power, this will not be an impediement to the advancement of compression technology.

该研究计划的目标是通过 1) 研究根本不同的帧预测方法，以及 2) 研究选择编码参数以提高视觉质量的方法来推进压缩技术。第一个目标将通过识别每个视频帧中的场景特征来实现，这些特征可以在其他帧中找到，尽管视点、比例或照明存在差异。通过匹配这些特征，我们将在帧之间建立对应关系，从而提高压缩比。该提案的第二个目标将通过将客观评估视频视觉质量的方法集成到视频编码器中来实现，并调整编码器参数以最大化视觉质量。这两个目标都需要计算复杂的算法。不过，对于离线压缩来说，考虑到处理器计算能力的不断增强，这并不会成为压缩技术进步的障碍。