A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Image Similarity Using Sparse Representation and Compression Distance
2014
IEEE transactions on multimedia
A new line of research uses compression methods to measure the similarity between signals. Two signals are considered similar if one can be compressed significantly when the information of the other is known. The existing compression-based similarity methods, although successful in the discrete one dimensional domain, do not work well in the context of images. This paper proposes a sparse representation-based approach to encode the information content of an image using information from the
doi:10.1109/tmm.2014.2306175
fatcat:c5veb6f7kbbcxkv7yalu5z3ymm