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Learning to compress images and videos

Cheng , Li; Vishwanathan, S


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...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Book chapter
Book Title: Machine Learning
DOI: 10.1145/1273496.1273517


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01_Cheng _Learning_to_compress_images_2007.pdf62.77 kBAdobe PDF    Request a copy
02_Cheng _Learning_to_compress_images_2007.pdf133.92 kBAdobe PDF    Request a copy
03_Cheng _Learning_to_compress_images_2007.pdf65.86 kBAdobe PDF    Request a copy
04_Cheng _Learning_to_compress_images_2007.pdf292.9 kBAdobe PDF    Request a copy
05_Cheng _Learning_to_compress_images_2007.pdf1.34 MBAdobe PDF    Request a copy

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