A Similarity Measure for Weaving Patterns in Textiles
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|Title:||A Similarity Measure for Weaving Patterns in Textiles||Authors:||Helmer, Sven; Ngo, Vuong M.||Permanent link:||http://hdl.handle.net/10197/11805||Date:||13-Aug-2015||Online since:||2020-12-11T10:45:48Z||Abstract:||We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile structures using hypergraphs and extract multisets of $k$-neighborhoods from these graphs. The resulting multisets are then compared using Jaccard coefficients, Hamming distances, and cosine measures. We evaluate the different variants of our similarity measure experimentally, showing that it can be implemented efficiently and illustrating its quality using it to cluster and query a data set containing more than a thousand textile samples.||Type of material:||Conference Publication||Publisher:||ACM||Copyright (published version):||2015 ACM||Keywords:||Applied computing; Arts and humanities; Information retrieval||DOI:||10.1145/2766462.2767735||Language:||en||Status of Item:||Peer reviewed||Is part of:||Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15||Conference Details:||The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '15), Santiago, Chile, 9-13 August 2015||ISBN:||9781450336215
|This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Computer Science Research Collection|
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