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» Ontological inference for image and video analysis
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74
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ICIP
2003
IEEE
15 years 11 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
102
Voted
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
15 years 1 months ago
Towards a Large Scale Concept Ontology for Broadcast Video
Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ong...
Alexander G. Hauptmann
ESWS
2005
Springer
15 years 3 months ago
Semantic Annotation of Images and Videos for Multimedia Analysis
Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant colo...
Stephan Bloehdorn, Kosmas Petridis, Carsten Saatho...
ICCV
2003
IEEE
15 years 11 months ago
Epitomic analysis of appearance and shape
See www.research.microsoft.com/jojic/epitome.htm for videos, comparisons and applications. We present novel simple appearance and shape models that we call epitomes. The epitome o...
Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
15 years 3 months ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of com...
Vasileios Mezaris, Michael G. Strintzis