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We present a method for estimating the complexity of an image based on the concept of Bennett's logical depth. We use this measure to classify images by their information content. The method provides a means for evaluating and classifying objects by way of their visual representations.
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Title Classifying objects by physical complexity
We present a method for estimating the complexity of an image based on the concept of Bennett's logical depth. We use this measure to classify images by their information content. The method provides a means for evaluating and classifying objects by way of their visual representations.
<http://feeds.feedburner.com/~ff/AnimaExMachina?a=IW9tuhKc3ew:FZL33B1SA0s:yIl2AUoC8zA><http://feeds.feedburner.com/~ff/AnimaExMachina?a=IW9tuhKc3ew:FZL33B1SA0s:dnMXMwOfBR0><http://feeds.feedburner.com/~ff/AnimaExM
Work type Article
Tags bennett's logical depth, new ideas, complexity, algorithmic information theory, computer science
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Registry info in Safe Creative
Identifier 1006026483765
Entry date Jun 2, 2010, 2:30 AM UTC
License Creative Commons Attribution Non-commercial No Derivatives 3.0
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Author. Holder Hector Zenil Chavez. Date Jun 2, 2010.
Information available at https://www.safecreative.org/work/1006026483765-classifying-objects-by-physical-complexity
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Registration: 1006026483765
