State-of-the-art for entity-centric repository and authoring environment for multimedia
MIV'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Multimedia, Internet & Video Technologies - Volume 7
Savanta--search, analysis, visualisation and navigation of temporal annotations
Multimedia Tools and Applications
An intelligent fuzzy object-oriented database framework for video database applications
Fuzzy Sets and Systems
F--a model of events based on the foundational ontology dolce+DnS ultralight
Proceedings of the fifth international conference on Knowledge capture
Multimodal video database modeling, querying and browsing
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Structural and event based multimodal video data modeling
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Flexible querying using structural and event based multimodal video data model
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Flexible content extraction and querying for videos
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
A core ontology on events for representing occurrences in the real world
Multimedia Tools and Applications
Applied Ontology - Is there Beauty in Ontologies?
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Video processing and computer vision communities usually employ shot-based or object-based structural video models and associate low-level (color, texture, shape, and motion) and semantic descriptions (textual annotations) with these structural (syntactic) elements. Database and information retrieval communities, on the other hand, employ entity-relation or object-oriented models to model the semantics of multimedia documents. This paper proposes a new generic integrated semantic-syntactic video model to include all of these elements within a single framework to enable structured video search and browsing combining textual and low-level descriptors. The proposed model includes semantic entities (video objects and events) and the relations between them. We introduce a new "actor" entity to enable grouping of object roles in specific events. This context-dependent classification of attributes of an object allows for more efficient browsing and retrieval. The model also allows for decomposition of events into elementary motion units and elementary reaction/interaction units in order to access mid-level semantics and low-level video features. The instantiations of the model are expressed as graphs. Users can formulate flexible queries that can be translated into such graphs. Alternatively, users can input query graphs by editing an abstract model (model template). Search and retrieval is accomplished by matching the query graph with those instantiated models in the database. Examples and experimental results are provided to demonstrate the effectiveness of the proposed integrated modeling and querying framework.