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学习压缩图像和视频

Learning to Compress Images and Video
课程网址: http://videolectures.net/icml07_cheng_lci/  
主讲教师: Li Cheng
开课单位: 国立信息通信技术研究所
开课时间: 2007-06-23
课程语种: 英语
中文简介:
我们提出了一种有损颜色图像压缩的直观方案:使用来自几个代表性像素的颜色信息来学习预测其余像素颜色的模型。现在,以灰度存储代表像素和图像足以恢复原始图像。类似的方案也适用于压缩视频,其中单个模型可用于预测许多连续帧上的颜色,从而导致更好的压缩。用于将颜色添加到灰度图像或视频序列的过程的现有颜色化算法是繁琐的,并且需要密集的人为干预。我们通过使用基于图形的电感半监督学习模块进行着色来绕过这些限制,并使用简单的主动学习策略来选择代表性像素。对各种图像和视频序列的实验证明了我们的算法的功效。
课程简介: We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of the pixels. Now, storing the representative pixels and the image in grayscale suffice to recover the original image. A similar scheme is also applicable for compressing videos, where a single model can be used to predict color on many consecutive frames, leading to better compression. Existing algorithms for colorization - the process of adding color to a grayscale image or video sequence - are tedious, and require intensive human-intervention. We bypass these limitations by using a graph-based inductive semi-supervised learning module for colorization, and a simple active learning strategy to choose the representative pixels. Experiments on a wide variety of images and video sequences demonstrate the efficacy of our algorithm.
关 键 词: 图像压缩; 颜色信息; 压缩视频
课程来源: 视频讲座网
最后编审: 2021-01-15:yumf
阅读次数: 62