Latent semantic analysis of facial action codes for automatic facial expression recognition
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
An interactive system for mental face retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Introduction to Information Retrieval
Introduction to Information Retrieval
Face Image Annotation Based on Latent Semantic Space and Rules
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
Multimedia Data Mining: A Systematic Introduction to Concepts and Theory
Facial action recognition for facial expression analysis from static face images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
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This paper describes a mechanism to annotate face images in impressive words which express their visual impressions. An annotation mechanism is developed by integrating latent semantic indexing, decision trees, and association rules. Moreover, visual and symbolic features of faces are integrated, which are corresponding to lengths and/or widths of face parts and impressive words, respectively. Relationships among these features are represented in a latent semantic space, their direct relationships in decision trees, and co-occurrence relationships among symbolic features in association rules, respectively. Efficiency of annotation results is improved by integrating these mechanisms, since their features are utilized effectively.