International Journal of Computer Vision
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Toward Rapid Ontology Development for Underdeveloped Domains
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 4 - Volume 4
A Probabilistic Extension to Ontology Language OWL
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Ontology-Driven Bayesian Networks for Dynamic Scene Understanding
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
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ICML '06 Proceedings of the 23rd international conference on Machine learning
Using Multimedia Ontology for Generating Conceptual Annotations and Hyperlinks in Video Collections
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
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Information Technology and Management
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Specifying spatio temporal relations for multimedia ontologies
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Natural scene image modeling using color and texture visterms
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Managing multilingual OCR project using XML
Proceedings of the International Workshop on Multilingual OCR
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PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Preservation of intangible heritage: a case-study of indian classical dance
Proceedings of the second workshop on eHeritage and digital art preservation
Multiple kernel learning for image indexing
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Nrityakosha: Preserving the intangible heritage of Indian classical dance
Journal on Computing and Cultural Heritage (JOCCH)
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In this work, we offer an approach to combine standard multimedia analysis techniques with knowledge drawn from conceptual metadata provided by domain experts of a specialized scholarly domain, to learn a domain-specific multimedia ontology from a set of annotated examples. A standard Bayesian network learning algorithm that learns structure and parameters of a Bayesian network is extended to include media observables in the learning. An expert group provides domain knowledge to construct a basic ontology of the domain as well as to annotate a set of training videos. These annotations help derive the associations between high-level semantic concepts of the domain and low-level MPEG-7 based features representing audio-visual content of the videos. We construct a more robust and refined version of this ontology by learning from this set of conceptually annotated videos. To encode this knowledge, we use MOWL, a multimedia extension of Web Ontology Language (OWL) which is capable of describing domain concepts in terms of their media properties and of capturing the inherent uncertainties involved. We use the ontology specified knowledge for recognizing concepts relevant to a video to annotate fresh addition to the video database with relevant concepts in the ontology. These conceptual annotations are used to create hyperlinks in the video collection, to provide an effective video browsing interface to the user.