Classification multilingue et multimédia pour la recherche d'images dans le projet OMNIA

Cet article expose differents traitements pour l’indexation automatique d’images accompagnees de textes multilingues. La combinaison de ces traitements a pour but d’obtenir des descripteurs multi-facettes d’images (thematique, affectif, esthetique, etc.). Cette approche est evaluee dans le cadre du projet ANR OMNIA qui rassemble des equipes de XRCE, du LIRIS et du LIG.

[1]  Christian Boitet,et al.  Portage linguistique d'applications de gestion de contenu , 2007 .

[2]  Mohamed A. Deriche,et al.  A New Technique for Combining Multiple Classifiers using The Dempster-Shafer Theory of Evidence , 2002, J. Artif. Intell. Res..

[3]  Gabriela Csurka,et al.  Visual categorization with bags of keypoints , 2002, eccv 2004.

[4]  Qianhua He,et al.  A survey on emotional semantic image retrieval , 2008, 2008 15th IEEE International Conference on Image Processing.

[5]  Zhihong Zeng,et al.  A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  P. Lang.  International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .

[7]  Cheng-Te Li,et al.  Emotion-based impressionism slideshow with automatic music accompaniment , 2007, ACM Multimedia.

[8]  Andrew Zisserman,et al.  Scene Classification Via pLSA , 2006, ECCV.

[9]  Rosalind W. Picard.  Affective Computing , 1997 .

[10]  Jianguo Zhang,et al.  The PASCAL Visual Object Classes Challenge , 2006 .

[11]  Adrian Popescu.  Image Retrieval Using a Multilingual Ontology , 2007, RIAO.

[12]  Shengming Jiang,et al.  Image Retrieval by Emotional Semantics: A Study of Emotional Space and Feature Extraction , 2006, SMC.

[13]  A. Colmerauer.  Les systèmes Q ou un formalisme pour analyser et synthétiser des phrases sur ordinateur , 1992 .

[14]  Stefanie Nowak,et al.  Content-based mood classification for photos and music: a generic multi-modal classification framework and evaluation approach , 2008, MIR '08.

[15]  Christian Boitet,et al.  An Evaluation of UNL Usability for High Quality Multilingualization and Projections for a Future UNL++ Language , 2007, CICLing.

[16]  Gabriela Csurka,et al.  Adapted Vocabularies for Generic Visual Categorization , 2006, ECCV.

[17]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[18]  Xufa Wang,et al.  Emotion Semantics Image Retrieval: An Brief Overview , 2005, ACII.

[19]  Philippe Smets,et al.  The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Ralph Grishman,et al.  Information Extraction: Techniques and Challenges , 1997, SCIE.

[21]  Gilles Sérasset,et al.  Multilingual Legal Terminology on the Jibiki Platform: The LexALP Project , 2006, ACL.

[22]  Changle Zhou,et al.  Content-Based Affective Image Classification and Retrieval Using Support Vector Machines , 2005, ACII.

[23]  Alberto Del Bimbo,et al.  Semantics in Visual Information Retrieval , 1999, IEEE Multim..

[24]  Masafumi Hagiwara,et al.  An image retrieval system by impression words and specific object names - IRIS , 2002, Neurocomputing.

[25]  Christian Boitet,et al.  PIVAX, an online contributive lexical database for heterogeneous MT systems using a lexical pivot , 2007 .

[26]  Daoud Maher Daoud.  Il faut et on peut construire des systèmes de commerce électronique à interface en langue naturelle restreints (et multilingues) en utilisant des méthodes orientées vers les sous-langages et le contenu , 2006 .

[27]  Yu Ying-lin,et al.  Image Retrieval by Emotional Semantics: A Study of Emotional Space and Feature Extraction , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.