The acquisition of lexical semantics for spatial terms: a connectionist model of perceptual categorization
Computer vision techniques for PDA accessibility of in-house video surveillance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Mining temporal patterns of movement for video content classification
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Video search in concept subspace: a text-like paradigm
Proceedings of the 6th ACM international conference on Image and video retrieval
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
Interactive retrieval for multi-camera surveillance systems featuring spatio-temporal summarization
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Inter-coder agreement for computational linguistics
Computational Linguistics
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Grounding spatial prepositions for video search
Proceedings of the 2009 international conference on Multimodal interfaces
Grounding spatial language for video search
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
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Spatial language video retrieval is an important real-world problem that is also a natural test bed for evaluating semantic structures for natural language descriptions of motion on naturalistic data. This paper describes first steps towards a system that grounds the meaning of spatial prepositions in geometric features. This system can be used to search a corpus of surveillance video for clips that match spatial language queries such as "along the hallway" and "across the kitchen." We present experiments characterizing the performance of models for the prepositions "across" and "along," and present a methodology for modeling other spatial prepositions.