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BoR: Bag-of-Relations for Symbol Retrieval

Abstract : In this paper, we address a new scheme for symbol retrieval based on bag-of-relations (BoRs) which are computed between extracted visual primitives (e.g. circle and corner). Our features consist of pairwise spatial relations from all possible combinations of individual visual primitives. The key characteristic of the overall process is to use topological relation information indexed in bags-of-relations and use this for recognition. As a consequence, directional relation matching takes place only with those candidates having similar topological configurations. A comprehensive study is made by using several different well known datasets such as GREC, FRESH and SESYD, and includes a comparison with state-of-the-art descriptors. Experiments provide interesting results on symbol spotting and other user-friendly symbol retrieval applications.
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Contributor : Bart Lamiroy Connect in order to contact the contributor
Submitted on : Friday, July 18, 2014 - 2:08:11 PM
Last modification on : Wednesday, October 27, 2021 - 2:40:01 PM
Long-term archiving on: : Monday, November 24, 2014 - 7:52:50 PM


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Santosh K.C., Laurent Wendling, Bart Lamiroy. BoR: Bag-of-Relations for Symbol Retrieval. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 2014, 28 (6), ⟨10.1142/S0218001414500177⟩. ⟨hal-01025765⟩



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