TY - JOUR AU - Thanh Nam Le AU - Muhammad Muzzamil Luqman AU - Anjan Dutta AU - Pierre Heroux AU - Christophe Rigaud AU - Clement Guerin AU - Pasquale Foggia AU - Jean Christophe Burie AU - Jean Marc Ogier AU - Josep Llados AU - Sebastien Adam PY - 2018// TI - Subgraph spotting in graph representations of comic book images T2 - PRL JO - Pattern Recognition Letters SP - 118 EP - 124 VL - 112 KW - Attributed graph KW - Region adjacency graph KW - Graph matching KW - Graph isomorphism KW - Subgraph isomorphism KW - Subgraph spotting KW - Graph indexing KW - Graph retrieval KW - Query by example KW - Dataset and comic book images N2 - Graph-based representations are the most powerful data structures for extracting, representing and preserving the structural information of underlying data. Subgraph spotting is an interesting research problem, especially for studying and investigating the structural information based content-based image retrieval (CBIR) and query by example (QBE) in image databases. In this paper we address the problem of lack of freely available ground-truthed datasets for subgraph spotting and present a new dataset for subgraph spotting in graph representations of comic book images (SSGCI) with its ground-truth and evaluation protocol. Experimental results of two state-of-the-art methods of subgraph spotting are presented on the new SSGCI dataset. UR - https://doi.org/10.1016/j.patrec.2018.06.017 N1 - DAG; 600.097; 600.121 ID - Thanh Nam Le2018 ER -