Spatial relationships in visual graph modeling for image categorization

In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two different image corpora. We show that using the spatial relationships with graph model has a positive impact on the results of standard Language Model (LM) and outperforms the baseline built upon the current state-of-the-art Support Vector Machine (SVM) classification method. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous General Terms Algorithms, Experimentation Keywords Graph theory, language model, image categorization

• Type: Conference
• Year: 2010
• Where: SIGIR
• Authors: Trong-Ton Pham, Philippe Mulhem, Loïc Maisonnasse
• Keywords: Different Image Corpora, Information Management, Language Model, SIGIR 2010, Standard Language Model