Modeling user context with applications to media retrieval |
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Authors: | Ankur Mani Hari Sundaram |
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Affiliation: | (1) Arts Media and Engineering Program, Arizona State University, Tempe, AZ 85287-8709, USA |
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Abstract: | In this paper, we develop a theoretical understanding of multi-sensory knowledge and user context and their inter-relationships.
This is used to develop a generic representation framework for multi-sensory knowledge and context. A representation framework
for context can have a significant impact on media applications that dynamically adapt to user needs. There are three key
contributions of this work: (a) theoretical analysis, (b) representation framework and (c) experimental validation. Knowledge is understood to be a dynamic set of multi-sensory facts with three key properties – multi-sensory, emergent and
dynamic. Context is the dynamic subset of knowledge that affects the communication between entities. We develop a graph based,
multi-relational representation framework for knowledge, and model its temporal dynamics using a linear dynamical system.
Our approach results in a stable and convergent system. We applied our representation framework to a image retrieval system
with a large collection of photographs from everyday events. Our experimental validation with the retrieval evaluated against
two reference algorithms indicates that our context based approach provides significant gains in real-world usage scenarios. |
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Keywords: | User context Media retrieval Multi-sensory knowledge representation |
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