The story picturing engine: finding elite images to illustrate a story using mutual reinforcement
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
The Story Picturing Engine---a system for automatic text illustration
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An effective method to detect and categorize digitized traditional Chinese paintings
Pattern Recognition Letters
Visual ontology construction for digitized art image retrieval
Journal of Computer Science and Technology
Transductive inference using multiple experts for brushwork annotation in paintings domain
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Identification of drawing tools by classification of textural and boundary features of strokes
Pattern Recognition Letters
A Hybrid Model of Image Retrieval Based on Ontology Technology and Probabilistic Ranking
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Proceedings of the international workshop on Workshop on multimedia information retrieval
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Rich metadata and context capturing through CIDOC/CRM and MPEG-7 interoperability
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Content-based image retrieval by hierarchical linear subspace method
Journal of Intelligent Information Systems
Stochastic modeling western paintings for effective classification
Pattern Recognition
Impressionism, expressionism, surrealism: Automated recognition of painters and schools of art
ACM Transactions on Applied Perception (TAP)
Auto-annotation of paintings using social annotations,domain ontology and transductive inference
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Detection of forgery in paintings using supervised learning
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Deprogramming large software systems
HotDep'08 Proceedings of the Fourth conference on Hot topics in system dependability
3D medical volume segmentation using hybrid multiresolution statistical approaches
Advances in Artificial Intelligence - Special issue on machine learning paradigms for modeling spatial and temporal information in multimedia data mining
Graph-based methods for the automatic annotation and retrieval of art prints
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Analyzing Ancient Maya Glyph Collections with Contextual Shape Descriptors
International Journal of Computer Vision
Artistic line-drawings retrieval based on the pictorial content
Journal on Computing and Cultural Heritage (JOCCH)
Analysis of cypriot icon faces using ICA-enhanced active shape model representation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Searching the past: an improved shape descriptor to retrieve maya hieroglyphs
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Ontology-based annotation of paintings using transductive inference framework
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
A wavelet statistical model for characterizing chinese ink paintings
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Pictorial analysis of line-drawings
Computational Aesthetics'08 Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Artistic image classification: an analysis on the PRINTART database
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Inscription extraction from Traditional Chinese Painting images
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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The paper addresses learning-based characterization of fine art painting styles. The research has the potential to provide a powerful tool to art historians for studying connections among artists or periods in the history of art. Depending on specific applications, paintings can be categorized in different ways. We focus on comparing the painting styles of artists. To profile the style of an artist, a mixture of stochastic models is estimated using training images. The two-dimensional (2D) multiresolution hidden Markov model (MHMM) is used in the experiment. These models form an artist's distinct digital signature. For certain types of paintings, only strokes provide reliable information to distinguish artists. Chinese ink paintings are a prime example of the above phenomenon; they do not have colors or even tones. The 2D MHMM analyzes relatively large regions in an image, which in turn makes it more likely to capture properties of the painting strokes. The mixtures of 2D MHMMs established for artists can be further used to classify paintings and compare paintings or artists. We implemented and tested the system using high-resolution digital photographs of some of China's most renowned artists. Experiments have demonstrated good potential of our approach in automatic analysis of paintings. Our work can be applied to other domains.